Discover Data Mining Projects on Upwork

LinkedIn Sales Research & Lead Generation (5–10 Hours/Week)

We are a growing licensed sports apparel and soccer company seeking a detail-oriented researcher to help us identify new sales opportunities and build relationships with key decision makers.

Responsibilities
Research retail buyers for major U.S. retailers
Identify independent manufacturer sales representatives
Research sporting goods distributors
Identify promotional products distributors
Build a database of soccer specialty retailers and team dealers
Connect with qualified prospects on LinkedIn
Maintain organized contact lists in Excel or Google Sheets
Ideal Candidate

The ideal candidate has experience using LinkedIn Sales Navigator, Apollo, ZoomInfo, Seamless.ai, or similar lead generation platforms to identify decision makers and develop targeted prospect lists.

You should also have:

Experience with B2B lead generation and prospect research
Strong organizational skills and attention to detail
Proficiency with Excel or Google Sheets
Excellent written English communication
Industries to Research
Licensed Apparel
Sporting Goods
Apparel
Soccer
Success Looks Like
A high-quality database of retail buyers
Qualified manufacturer sales representative contacts
Distributor and dealer prospect lists
Consistent LinkedIn outreach to targeted decision makers

This is an ongoing part-time position (5–10 hours per week) with the opportunity for additional work as our business continues to grow.

Hi,

We require a database built within the SEPA region for our lead generation company.

We are currently acquiring a list of website to extract the following:

Full company name
Contact telephone number
Bank Name (via IBAN)

The companies are located within Germany, Netherlands Belgium and other SEPA regions.

If you already have such leads that’d be fantastic.

Best case scenario

Source a large dataset
Scrape data from company website
Return in CSV ready to be processed to the sales department.

Kind regards
Michael

We are a functional medicine/diagnostic laboratory looking for a detail‑oriented contractor to help us build a de‑identified research dataset from existing patient orders and lab results stored in our cloud folders (Box). The goal is to correlate (KPU) test results with associated diagnostic codes and conditions in a way that is fully HIPAA‑compliant and anonymized.

You will work inside our secure environment to:

Review provider accounts and order history to identify tests that include KPU (often as part of an advanced metabolic panel).
Extract structured data from each order: internal study ID (not patient ID), diagnostic codes (e.g., ICD‑10), mapped conditions (e.g., tic disorder, mineral metabolism disorder), order year, and KPU result status/level.
Populate a spreadsheet template with only non‑identifying data, following strict de‑identification rules (no names, addresses, full dates of birth, medical record numbers, or free‑text that could identify a patient).
Perform basic quality checks to confirm that the final dataset is fully anonymized, suitable for correlation and statistical analysis.

We are specifically looking for someone who:

Has experience working with medical records, diagnostic codes, or healthcare data.
Understands HIPAA concepts around PHI and de‑identified data, and is willing to follow a clear SOP and sign a confidentiality agreement/BAA.
Is comfortable navigating web portals and cloud storage (Box), and working systematically through lists of orders.

This is an initial project to build a research‑ready anonymized dataset; if it goes well, there is potential for ongoing work as we expand our data pipelines and studies.

We are a video performance agency looking for a reliable B2B Lead Generation Specialist to build a custom, high-quality list of 100 verified leads for small to mid-sized DTC/Shopify brands.

We will be pitching our video editing & ad creation services to these brands, so finding the right profile is critical.

Target Criteria:

Brand Size: Small to mid-sized e-commerce brands (Estimated revenue ~$10k–$50k/month or 1–10 employees). NO large corporations (e.g., Nike, Gymshark, Sephora) as they already have internal editing teams.

Active Video Ads: Brands must actively be running video ads on Meta (Facebook/Instagram) or TikTok, or posting video content on Instagram/TikTok that needs improvement.

Niches: Beauty, Skincare, Health & Supplements, Fitness, or Home/Gadgets.

Decision Makers: Founder, Co-Founder, CEO, Head of Marketing, or E-commerce Manager.

Data Required (Deliverable in Google Sheets / Excel):

Brand Name & Website Link

Instagram or TikTok Profile Link (so we can review their video content)

Decision Maker Name & Exact Job Title

100% Verified Work Email Address (must have a low bounce rate)

Budget: $15 Fixed Price.

If the quality of these 100 leads is great and emails don't bounce, this will become a weekly recurring contract. Please attach a sample of previous e-commerce lead generation work when applying!

I'm looking for a prospect researcher to help me identify "quiet" major donor candidates, individuals (not celebrities or ultra-high-profile figures) who have a documented history of giving to libraries, literacy programs, literature/humanities causes, or similar education-access nonprofits, and who are realistically reachable by direct email.

Your role will involve researching and confirming contact details for potential donors who support literacy and books. This part-time position requires strong skills in donor research and data entry, with a focus on accuracy and attention to detail. If you have experience in the non-profit sector and are passionate about literacy, would love to hear from you.

Some Background & More Details:

I run Another World Audiobooks, a free podcast producing professionally narrated classic literature (think Project Gutenberg or LibriVox, but audio-first, distributed on Spotify, Apple Podcasts, and everywhere else podcasts live). We've built real reach, 236,000+ plays and downloads, listeners in 40+ countries, a 5.0-star average rating, and I'm building a fundraising program to make the project sustainable long-term through individual patron support.

I'm looking for a prospect researcher to help me identify "quiet" major donor candidates, individuals (not celebrities or ultra-high-profile figures) who have a documented history of giving to libraries, literacy programs, literature/humanities causes, or similar education-access nonprofits, and who are realistically reachable by direct email.

What I need:

A spreadsheet of 150-200 individual prospects, each with:

Full name
Source where found (specific donor recognition page, 990 filing, foundation donor list, etc. - include the URL)
Evidence of aligned giving (what they gave to, and ideally the approximate gift level if publicly listed)
A verified, working email address, business/professional email preferred over personal when both exist. Please do not include phone numbers, home addresses, or any non-public personal information, this should be limited to information a business or professional would reasonably use for outreach.
Any additional context useful for personalizing outreach (employer, professional title, other giving history)

Where to look (starting points, not exhaustive):

Public library and university library foundation donor recognition pages (individual donor walls, not corporate/foundation entries)
ProPublica Nonprofit Explorer / IRS Form 990 filings for family foundations focused on literacy, libraries, or education
Community foundation "donor spotlight" pages
Candid/Foundation Directory profiles connected to individual named founders

Important constraints:

Please skip names that are too common/ambiguous to verify confidently (e.g., a name with no employer, title, or other identifying detail attached). I'd rather have 150 confidently-verified names than 300 unreliable guesses.
Please avoid public figures/celebrities and anyone whose contact would only be reachable through an agent or publicist, I'm specifically after individuals I can reach directly.
Only use publicly available contact information. No data broker services requiring me to agree to terms I haven't reviewed.

Ideal experience:

Background in nonprofit prospect research, development/fundraising research, or similar (freelance prospect researchers with previous nonprofit clients strongly preferred)
Comfortable working from Form 990 filings and public donor recognition pages
Strong verification habits, I'd rather you flag "uncertain" than guess

Deliverable format: Spreadsheet (Google Sheet or Excel), one row per prospect, columns as outlined above.

Timeline: As soon as possible!

Please include in your application: relevant past experience with similar prospect research work, and if possible, a brief description of your general approach/sources for this type of project.

And also, please start your reply with "Another World" so I know you read the posting! Thanks!

I can assist with various tasks within your project and hope to contribute to its growth. My expertise includes data mining as well as digital design and banner creation; I possess skills in image editing and creative design, and I am known for my attention to detail.

I am looking for a meticulous lead generation freelancer to build a clean, highly accurate spreadsheet of 250 boutique accounting/tax professionals in the Phoenix, Arizona metro area.

Your goal is to find independent Certified Public Accountants (CPAs), Enrolled Agents (EAs), and local Tax Preparation firms with fewer than 5 employees.

I am targeting the actual owners, partners, or founders.

Sources to Use:
Google Maps (Searching keywords like "CPA Mesa AZ", "Tax Preparation Gilbert", "Accountant Scottsdale", etc.)
Public professional directories (IRS Enrolled Agent Roster, Arizona Board of Accountancy)

Data Fields Required (Must be delivered in a Google Sheet):
Company Name
First & Last Name of Owner/Partner
Job Title (Owner, Partner, Founder, Principal)
Direct Email Address (No generic info@, admin@, or support@ emails unless it is a solo operator using a @gmail.com address)
Company Website URL
Phone Number
City/Location (Must be within the Phoenix Metro area - i.e. 50 mile radius from Phoenix, Arizona) This will include many Arizona cities/towns including but not limited to: Gilbert, Mesa, Queen Creek, Chandler, Scottsdale, Fountain Hills,... etc.

Requirements:
Experience with local B2B lead generation.
Must manually verify emails using a tool like NeverBounce or Hunter.io to ensure a 0% bounce rate.
Strictly no old, stale database dumps or bulk web-scraped lists. These must be active, current local practices.
Project Type: One-time project (with potential for ongoing monthly work as I expand to other states)
Budget: Open to fixed price ($35- $50) Please state your experience with local list building in your proposal.

I have a list of 150 hotels and need a clear, well-organised data set for each one. Your job is to visit the official website of every property and pull the following:

• Hotel name
• A concise property description (one or two clean paragraphs)
• High-quality images that accurately showcase every room and suite category

Please save images in clearly named folders—one folder per hotel, with filenames that indicate the specific room or suite shown. Provide a master spreadsheet (Excel or CSV) that lists, for every hotel, links or file paths to each image alongside the hotel name and description.

Only information published on the hotels’ own websites should be used. No scraping from OTAs or review sites. All images must be the largest resolution available on the page; do not upscale or compress them.

Deliverables will be considered complete when:
1. All 300 hotels are present in the spreadsheet.
2. Descriptions are free of formatting code and promotional fluff.
3. Every image opens correctly, is not watermarked, and is placed in the right folder.

If you notice other useful details (e.g., room amenities) while collecting images, feel free to note them in a separate column for possible future use, but the core requirement is the name, description and room imagery.

Looking forward to working with someone who is methodical, fluent with Excel/Google Sheets, and comfortable downloading and organising large image sets.

Skills: Data Entry, Excel, Web Scraping, Data Mining, Image Processing, Documentation, Data Analysis, Data Collection, Data Management, Data Annotation

We're looking for an experienced **Zoho CRM specialist** to help enrich and validate approximately **300 existing leads** in our Zoho CRM.

This is **not** a data entry project. We're looking for someone who knows how to efficiently research, verify, and enrich CRM records while maintaining high data quality.

## Current State

Our leads already contain basic information, including:

* First name
* Last name
* Current title (may be outdated)
* Company
* A few internal custom fields

Most other fields are missing.

## Primary Scope (Fixed Price)

For each lead, we'd like you to:

* Verify that the person is still at the listed company
* Update their current job title if it has changed
* Find and populate a current, working business email address
* Populate the company's full address (street, city, state/province, postal code, country)
* Add any other high-value business information that would make the CRM more useful (for example company website, LinkedIn URL, company size, industry, or annual revenue if readily available)

Accuracy is much more important than speed. We'd rather have fewer verified records than many inaccurate ones.

Please let us know:

* Which data sources and enrichment tools you use
* Your expected accuracy rate for business email addresses
* Whether emails are verified before delivery
* Your experience working directly inside Zoho CRM

## Secondary Project (Separate Fixed Price)

We're also looking for help classifying the **seniority** of these same contacts.

We'd like your recommendation on the fastest and most reliable way to accomplish this, whether through Zoho, automation, AI, external enrichment tools, or manual research.

Our desired scale is:

* **Level 1:** Individual contributor / Associate / Specialist
* **Level 2:** Manager
* **Level 3:** Director / Senior Director
* **Level 4:** Vice President / Senior Vice President
* **Level 5:** C-suite / Founder / President / Executive leadership

This isn't always straightforward because many job titles are ambiguous, so we're interested in your methodology for assigning seniority consistently.

Please provide a **separate fixed-price quote** for this portion of the work.

## To Apply

Please include:

* Your experience with Zoho CRM
* Similar CRM enrichment projects you've completed
* The enrichment tools or databases you use (Apollo, ZoomInfo, LinkedIn Sales Navigator, Clay, Clearbit, etc.)
* Your proposed fixed price for:

1. Data enrichment of approximately 300 leads
2. Seniority classification of approximately 300 leads
* Your estimated turnaround time

We're looking for someone who values data quality, communicates well, and can potentially become a long-term resource for future CRM enrichment projects.

I need a list of hosts and all their listings on Airbnb. The task requires obtaining this information quickly within 1-2 days using valid, authentic, and legal sources. I am looking for a list builder who can efficiently handle this task and provide the necessary data. Please apply and let me know how you will approach this project. Thanks.

We are looking for a detail-oriented research assistant to help build a database of US non-profit organizations.

Scope of Work

Your primary responsibility will be to research and identify contact information for non-profit organizations across the United States, including:

Organization name
Website
Primary contact person (if available)
Email address
Mobile phone number (preferred) or direct phone number
Job title of the contact
State/City
Source of the information


Requirements
Strong online research skills

Experience using LinkedIn, non-profit directories, public records, and other legitimate research tools
Ability to verify and cross-check information for accuracy

Excellent attention to detail
Comfortable working with spreadsheets (Excel or Google Sheets)
Preferred Experience
Lead generation or contact discovery
Experience finding direct contact information for executives or key decision-makers
Familiarity with tools such as Apollo, RocketReach, ZoomInfo, Lusha, LinkedIn Sales Navigator, or similar (if you have access)
Deliverables

A spreadsheet containing accurate and verified contact information for the assigned list of non-profit organizations.

When Applying

Please include:

A brief description of your experience with contact research or lead generation.
The research tools you use.
Your expected turnaround time for researching 100 organizations.

We are seeking a skilled freelancer to automate our inventory data processes using Excel. The ideal candidate will have experience in data mining and be proficient in Microsoft Excel, particularly with PowerPivot and VBA. The project involves creating a system to automatically update inventory levels and generate reports. If you have a strong understanding of Excel and can deliver efficient solutions, we would love to hear from you.

I’m looking for an AI developer to build a simple document question-answering application.

The application should allow users to upload one or more PDF documents and ask questions in natural language. The assistant should retrieve the most relevant document sections before generating accurate responses.

The goal is to demonstrate an AI-powered retrieval workflow rather than simply sending the entire document to an LLM.

We are looking for a Lead Generation Specialist to find high-quality business leads through manual research using publicly available information.

Focus:
Quality over quantity – we need accurate and relevant leads on a weekly basis.

Target Categories:
Local service businesses (cleaning, HVAC, plumbing, roofing)
Marketing / IT agencies
E-commerce brands
Real estate businesses
Health & wellness (clinics, gyms, spas)

Responsibilities:
Research relevant companies
Collect company details (name, website, industry, location)
Find publicly available contact info
Maintain accurate and organized data

Trial & Hiring:
Paid trial (5–6 freelancers)
Rate: $5/hour
Top performer will get long-term role at $15–$20/hour

Looking for reliable freelancers who can deliver consistent, high-quality leads.

Responsibilities:
Develop an organic growth strategy
Create and optimize engaging content
Build genuine audience engagement
Track performance and recommend improvements
Please share examples of LinkedIn pages you have managed, your methods, and measurable results.
(A plus if you currently manage a LinkedIn page with an established, genuine following.)

I am building an education platform that lists colleges across Maharashtra. I need individuals or teams to collect accurate and verified college data directly from official college websites. The required information includes: - College Name, Official Website, Full Address, District, Taluka & City - Contact Number, Email Address, Courses Offered, University Affiliation - Approval/Accreditation (if available), Principal/Director Name (if available) - Google Maps Link, Admission Link (if available) Data Quality Requirements: - Information must be accurate and verified. - Each record should include the official website used as the source. - No duplicate or incomplete records. Delivery Format: Microsoft Excel (.xlsx) or CSV with well-organized columns. Pricing: Quote price per verified college record. Ideal candidates should mention their price per record, daily/weekly capacity, estimated delivery time, and any relevant experience in data collection or research.

Skills: Data Entry, Excel, Web Scraping, Web Search, Data Mining

We are seeking a skilled biostatistician to analyze clinical trial data and draw meaningful conclusions. The ideal candidate will have experience in handling large datasets, identifying trends, and interpreting results. Strong analytical skills and attention to detail are essential. The role involves working independently to ensure accurate and reliable data analysis.

Minimum 3+ years of professional experience working in Fortune 500 environments using Excel, PowerPoint, and Word on high-impact business projects.
Demonstrated expertise in creating complex models, reports, analyses, and presentations across various industries such as finance, healthcare, tech, consulting, or retail.
Background in business roles such as private equity associate, investment banking analyst, junior consultant, FP&A analyst, HR, or marketing strategist, with hands-on involvement in deal or project work.

We have an existing email subscriber database containing more than 114,000 professionals who work in the multifamily industry. Every record includes an email address, but some records are missing names, job titles, company names, phone numbers, locations, or other information.

We are seeking an experienced B2B data enrichment specialist to clean, standardize, categorize, and complete the missing information using reliable data sources and enrichment tools.

The purpose of this project is to develop an accurate profile of our subscribers. For example, we want to know the actual number and percentage of subscribers who are C-suite executives, vice presidents, regional managers, property managers, supplier partners, and other types of multifamily professionals.

Accuracy is more important than completing every field. Information must not be fabricated or entered based on unsupported assumptions.

Information Required

For each subscriber, we would like the following information completed or verified whenever it is reliably available:

Full name
First name
Last name
Current job title
Current company name
Email address
Phone or mobile number, if available
Location, including U.S. state or international region
Professional category
Seniority level
Professional Categories

Subscribers should be categorized by their current position or professional level whenever possible. Categories may include:

Owner, founder, president, or C-suite executive
Vice president
Director
Asset manager
Regional manager
Property manager
Marketing professional
Maintenance or operations professional
Supplier partner
Other multifamily industry professional

We are open to recommendations for additional categories that would provide a clearer and more useful analysis of our subscriber audience.

Scope of Work

The selected specialist will be expected to:

Review the existing database and its current fields.
Preserve every original record and email address.
Identify and flag duplicate or potentially duplicate records.
Standardize names, job titles, company names, locations, and capitalization.
Complete missing information using reliable and legally accessible sources.
Verify current job titles and company affiliations whenever possible.
Clearly distinguish verified information from information that is inferred.
Categorize subscribers by professional role and seniority.
Provide the actual number and percentage of subscribers in each category.
Report the percentage of records successfully enriched for each requested field.
Return the completed database in Excel or CSV format.

Include the term “telescope” somewhere in your response. Proposals without the word “telescope” will not be considered.

Required Pre-Contract Sample

Before a contract or agreement is executed, shortlisted candidates must complete a sample containing 5,100 records selected from our subscriber list.

The sample must demonstrate the candidate’s ability to fill in missing information quickly, accurately, consistently, and at scale.

We will evaluate the sample based on:

Accuracy of the enriched information
Number and percentage of missing fields completed
Accuracy of current job titles and company affiliations
Ability to distinguish verified information from inferred information
Consistency and formatting
Turnaround time
Suitability of the candidate’s process for the complete database

Please state how quickly you can complete the 5,100-record sample when submitting your proposal.

Data Enrichment Tools

Candidates may use any legitimate data enrichment tools, databases, software, or platforms to which they already have access.

We do not provide:

Data enrichment tools
Software subscriptions
Database access
Platform access
Enrichment credits
Reimbursement for outside tools or services

The selected candidate will be responsible for providing all tools and resources necessary to complete the project within the agreed fixed price.

Required Qualifications
Demonstrated experience enriching large B2B contact databases
Experience processing databases containing 100,000 or more records
Access to reliable data enrichment tools and professional databases
Strong Excel or CSV data management skills
Experience with data cleaning, standardization, and deduplication
Ability to categorize contacts by job function and seniority
Ability to document completion rates, methodology, and accuracy
Strong attention to detail
Ability to complete the work efficiently and within budget

Experience working with multifamily housing, commercial real estate, property management, or related industry databases is preferred but not required.

Final Deliverables

The final deliverables must include:

Cleaned and standardized master database
Completed information for all reliably enriched fields
Original and enriched information retained in separate columns where appropriate
Verification or confidence status for enriched information
Duplicate and potentially invalid record report
Summary of subscribers by professional role and seniority
Actual quantities and percentages for each professional category
Before-and-after field completion report
Explanation of the tools, sources, and methodology used
Final database delivered in Excel or CSV format
Confidentiality and Data Protection

All subscriber information must remain strictly confidential.

The database and its contents may not be:

Shared with another person or company
Sold or distributed
Used for another client, project, or purpose
Uploaded to undisclosed or unauthorized platforms
Retained after the evaluation or project is completed

Candidates must identify the platforms and services to which any subscriber information will be uploaded or submitted.
Application Questions

Please answer every question:

What experience do you have enriching large B2B subscriber or contact databases?
Have you previously processed a database containing 100,000 or more records?
Which data enrichment tools and sources will you use?
Do you already have access to all required tools and platforms?
Will you require any additional payment for tools, subscriptions, or enrichment credits?
What percentage of records do you reasonably expect to enrich?
How will you verify current job titles and company affiliations?
How will you distinguish verified information from inferred information?
How will you measure and report accuracy?
How quickly can you complete the required 5,100-record sample?
How long will you need to complete the full database?
How will you protect the confidentiality of our subscriber information?
Can you provide examples of comparable projects you have completed?

Job Description

We are looking for an experienced web scraping specialist who is highly proficient with Scrapebox and other data extraction tools.

Your primary responsibility will be to identify online data sources, scrape business information, clean the data, and deliver organized datasets that can be imported into our CRM and marketing systems.

This is an ongoing position for the right candidate.

Responsibilities

* Use Scrapebox to scrape targeted business data.
* Identify the best online sources for finding businesses that match our criteria.
* Extract business information including (when available):
* Business Name
* Owner Name
* Website
* Email Address
* Phone Number
* Industry / NAICS
* Address
* City / State
* Social Media Profiles
* Other custom fields as requested
* Remove duplicate records.
* Verify and clean data.
* Organize results into Excel, CSV, or Google Sheets.
* Follow detailed instructions regarding search criteria and filtering.
* Deliver accurate, high-quality datasets.

Requirements

* Extensive experience using Scrapebox.
* Experience with web scraping, lead generation, and data mining.
* Ability to scrape large datasets efficiently.
* Experience with proxies, harvesting, footprint searches, and search operators.
* Strong Excel or Google Sheets skills.
* High attention to detail.
* Excellent English communication.
* Ability to work independently.

Nice to Have

* Experience with Python scraping.
* Knowledge of APIs.
* Experience with Airtable.
* Experience with CRM imports.
* Experience with Make.com or automation platforms.
* Familiarity with LinkedIn scraping and enrichment tools.

To Apply

Please answer the following:

1. How many years have you been using Scrapebox?
2. What types of projects have you completed?
3. What other scraping tools do you use besides Scrapebox?
4. Have you scraped millions of records before?
5. How do you avoid duplicate or poor-quality data?
6. Can you provide examples of previous scraping projects?
7. What is your hourly rate?
8. How many hours per week are you available?
9. What proxy providers and scraping infrastructure do you typically use?
10. Why should we hire you over other applicants?

We are looking for someone who enjoys solving data collection challenges and can become a long-term member of our team.

I’m looking for a reliable, detail-oriented Virtual Assistant with strong experience in B2B lead generation.

You’ll be helping my sales team build consistent client acquisition for my video and content marketing company, Copper Sprocket Ltd. We’re a team of filmmakers and content strategists with clients in industries like luxury travel, finance, and B2B services.

Your Responsibilities:

* Research and build lead lists of UK-based luxury experience companies (typically £1.5–5M turnover)

* Identify decision makers (Founders, CEOs, Heads of Marketing, etc.)

* Add accurate contact details (name, role, email, LinkedIn profile, website, niche notes)

* Keep a simple CRM spreadsheet updated with statuses: contacted / replied / booked / follow-up needed

Tools We Use (or You Should Be Comfortable Learning):

* LinkedIn (Sales Navigator or standard)

* Apollo.io or Clay (optional, but nice to have)

* Google Sheets / Notion

* Loom (to exchange updates)

Requirements:

* Excellent written English (clear, concise, and non-pushy tone)

* Strong attention to detail — this is not a scraping job; quality over quantity

* Ability to work independently, meet goals, and communicate clearly

* Prior experience supporting creative agencies, service businesses, or consultancies a big plus

* Bonus: Experience researching UK companies or working with UK-based clients

Time & Budget:

Initial term is fixed, but with scope to expand to an ongoing basis.

Flexible hours, async — as long as tasks are completed on time

To Apply (Please include):

A short intro telling me why this is a good fit for you

Examples of similar lead gen or outreach work you’ve done

Tools you’ve used for lead sourcing or email/DM outreach

Your preferred hourly rate

Remote M&A Deal Sourcing and Lead Gen Associate – US and Canada

Company

Spektrum Capital Advisors LLC is a U.S.-based middle-market investment banking and M&A advisory firm. We advise founder-owned businesses on company sales, acquisitions, growth capital and private placements of debt and equity.

We are seeking an experienced, detail-oriented remote researcher based in the Philippines to support our deal-sourcing and lead-generation activities in the United States and Canada.

This will begin as a small, paid pilot project. Strong performance may lead to regular part-time work and increasing responsibility.

Pilot Project

Duration: Approximately 15 hours over two weeks
Hourly rate: $5-7 per hour
Maximum hourly compensation: $100
Performance incentive: Up to $50
Maximum pilot budget: $150

Responsibilities

The selected associate will:

Identify privately held U.S. and Canadian companies that meet defined acquisition or investment criteria.
Research each company’s business model, services, size, ownership, geography and strategic relevance.
Identify the correct decision-makers, including the CEO, founder, owner, corporate development leader or investment professional.
Find and verify business email addresses, LinkedIn profiles and publicly available contact details.
Provide a concise explanation of why each company is a suitable target, buyer, investor or transaction prospect.
Maintain all research in Spektrum’s Excel template or CRM.
Avoid duplicates, irrelevant companies and generic contact information.
Support targeted email and LinkedIn outreach after receiving Spektrum’s approval.

Pilot Deliverable

The initial assignment will cover one defined industry and transaction thesis. The associate will be expected to deliver approximately 200 carefully screened companies, including:

Company name
Website
Headquarters
Estimated revenue or employee range
Ownership type
Business and service description
CEO/founder or relevant decision-maker
Job title
LinkedIn profile
Verified business email
Publicly available telephone number, where available
Source links
Two- or three-sentence strategic-fit rationale
Lead status and research notes

Quality is more important than volume. A list of generic or unverified contacts will not be accepted.

Qualified Lead Definition

A lead will be considered qualified when:

It meets the written industry, geography, size and ownership criteria;
It is not already in Spektrum’s CRM or exclusion list;
The correct senior decision-maker is identified;
The business email is verified;
Supporting source links are provided; and
The strategic-fit rationale is specific and credible.

A $50 performance incentive will be paid for the accepted 200 high quality leads.

Required Experience

At least two years of B2B lead-generation, market-research or company-research experience
Strong English reading and writing skills
Experience researching U.S. or Canadian companies
Strong proficiency in LinkedIn, Google, Excel or Google Sheets
Familiarity with tools such as LinkedIn Sales Navigator, Apollo, Crunchbase, PitchBook, ZoomInfo, Hunter, RocketReach or similar platforms
Ability to estimate company size using credible sources
Strong attention to detail and ability to follow precise instructions
Reliable internet connection and availability for periodic calls during U.S. Eastern Time
Philippines residents highly preferred.

Preferred Experience

M&A, private equity, investment banking, corporate finance or transaction-sourcing experience
Familiarity with technology services, cybersecurity, healthcare, pharma services or business services
Experience identifying founder-owned and private-equity-backed companies
Experience working with CRMs and managing exclusion or duplicate lists
Ability to draft concise, personalized outreach messages

Confidentiality and Conduct

The selected contractor will be required to:

Sign a confidentiality and contractor agreement;
Use Spektrum information only for the assigned work;
Keep all client names, transaction information and target lists confidential;
Avoid contacting any company without prior written approval;
Follow applicable privacy, platform and anti-spam requirements; and
Return all research and work product to Spektrum.

How to Apply

Please provide:

A short description of your relevant lead-generation and company-research experience.
The research databases and tools you have used.
One anonymized example of a set of 10 target-company or prospect list you prepared.
Your hourly rate.
Your availability over the next two weeks.
Your usual working hours and time zone.
The answer to the following screening question:

“Please identify three privately held U.S. or Canadian cybersecurity service companies with approximately 50–500 employees. For each company, provide its website, headquarters, CEO or founder, LinkedIn profile and one sentence explaining why it could be relevant to an M&A buyer.”

Applications without a response to the screening question will not be considered.

Please begin your application with the words “Spektrum Deal Sourcing” so that we know you have read the complete posting.

We are seeking a detail-oriented Data Enrichment Specialist. The role involves verifying and updating information, ensuring accuracy and completeness. The ideal candidate will have experience in data analysis and entry, with a keen eye for detail.
If you need more details related to the project we will project you all details when we taking your interview
Thank!!

Need UK Energy industry leads for outbound calling operations - contact details of people and their mpan/mprn numbers - if you have worked in this industry then you will have an idea of this - please quote how many leads you can provide and at what cost - or how many for USD 250 budget -- and give a sample of 2-3 leads for us to check or masked out info - whatever you prefer

Your job is to find restaurants and food businesses that fit our target and log them in a shared sheet — business name, city, phone, website status, Instagram. No calling; you're just building the list our caller works from. I'll send you a short brief with the exact targeting rules and the sheet to fill in.

We'll start with a first batch of 50 leads so I can check the quality, then keep it rolling from there.

Before I send everything over — can you confirm you're good to start, and roughly how many leads you think you can pull per day? Once I hear back I'll get you the brief and the sheet.

Overview:
I am looking for an experienced developer or web scraper to extract contact data from a specific Android application for Who Caller and export the filtered results into a clean CSV file.

​Key Requirements:
​Target App: (Extract data either via API reverse engineering or backend scraping).

​Data Filtering Condition: Strictly extract and include ONLY phone numbers that start with the digit 7 (e.g., numbers starting with 7XXXXXXX or country code + 7...). All other numbers must be excluded from the final list.

​Output Format: Clean CSV file containing the following columns:
​Phone
​Name

​Deliverables:
​A sample test batch (e.g., 50–100 records) to verify data accuracy and filter compliance before full execution.

​Final CSV file containing all scraped records matching the filter criteria.

​Requirements for Bidders:
Please mention your proposed approach (e.g., API traffic analysis, Frida, Python script, etc.) and estimated delivery time when submitting your bid.

Skills: Python, Mobile App Development, Android, Web Scraping, Data Mining, API, Reverse Engineering

Scrape a website for all the required info — details are in the Google Sheet, ask if anything's unclear. Before the full scrape, send a test file with 2 products. Every field must be in its own column with a consistent header — no mixed data across columns.

Please let me know when you can deliver.

https://docs.google.com/spreadsheets/d/1Ru8hf8jBDAhUSCTGGsm_fNueRIyfd9V19QD6ecPrnKw/edit?usp=sharing

We are seeking a skilled freelancer to manually research and compile a list of small business owners using Keap/Infusionsoft. The ideal candidate will have experience in market research and business analysis, ensuring accuracy and relevance in the data collected. This part-time, short-term project requires attention to detail and the ability to work independently.

We are looking for a researcher to produce an original, TRIPOD+AI-compliant prediction finding using NHANES, a large, nationally representative US health survey that links questionnaire, examination and laboratory data on the same people.

This is an invited submission to JPMedAI (Journal of Precision Medicine and Artificial Intelligence), a new, open-access, peer-reviewed journal currently assembling its inaugural issue. Article processing charges are waived during this launch phase, so there is no cost to you to publish. This suits researchers who value a genuine, citable publication and hands-on methodological support as much as, or more than, the cash fee, which reflects that context.

THE DATASET

Training dataset: NHANES continuous cycles, fully open, no registration.
External validation: temporal holdout using non-overlapping NHANES cycles, a genuinely independent national sample rather than a random split of the same years.

The angle: a great deal of prediction work has already been done on NHANES, so a model that restates a well-worn result will not stand out. We have a specific direction in mind, in the broad area of prospective risk stratification, that is less worked than it first looks. We have deliberately not fixed the exact question or endpoint here. In your application, propose your own take, tell us the outcome you would target and why, and be ready to ground it in a genuine gap you have checked. We refine the precise design together with the researcher we select.

GENERAL EXPECTATIONS FOR THE RESEARCH FELLOW

Use the survey's complex design correctly, meaning strata, primary sampling units and weights carried through the analysis, not treated as a simple random sample.
Report according to TRIPOD+AI (2024), the AI/ML-specific extension of TRIPOD, citing the original TRIPOD statement as the foundational reference. Use SHAP or an equivalent feature-attribution method for explainability.

Report discrimination, calibration as plots rather than a slope and intercept in the text, and decision-curve analysis against a clinically meaningful comparator, such as an existing risk score or a simple guideline rule, not against "no model" alone.
Test and report performance across demographic subgroups, including by income, insurance type and race or ethnicity, rather than a single pooled metric.

Before finalising the question, complete a focused, dated literature search on your exact endpoint and model, documenting the closest two or three prior papers and your specific point of difference.
Write the work up as a scientific manuscript, 3,000 to 6,000 words, up to 8 figures, structured as a 300-word structured abstract, keywords, introduction, methods, results, discussion, conclusion, and Vancouver-style references.

WHAT YOU'LL GET

An invited submission pathway to JPMedAI, with direct editorial engagement rather than a slot in a large backlog.
Hands-on methodological and editorial support to bring your first draft to a publishable, TRIPOD+AI-compliant standard.
Named byline, full citation credit, ORCID-compatible publication metadata, and a PDF for your portfolio, CV or dissertation.
A $100 honorarium on completion. The primary value on offer is the invited, mentored publication itself.
First-mover advantage on a specific, clinically useful question.

WHAT THIS IS NOT

This is not content writing, and it is not ghost-writing. You are an independent researcher producing original work under your own name.
The editorial process exists to hold scientific standards, not to change your conclusions or direct your inquiry.

IDEAL CANDIDATE PROFILE

Two kinds of applicant are welcome....
- Early-career researchers with at least one preprint or publication who want a fast, well-supported second one.
- Strong machine-learning or data-science practitioners without a clinical publication record who want to break into applied health research; for this group our support includes guidance on clinical framing, endpoint selection and TRIPOD+AI norms.

Useful but not required: background in epidemiology, biostatistics or survey-weighted analysis, and familiarity with calibration, decision-curve analysis or explainability methods.

Sharing the work with one or two collaborators who will be named co-authors is welcome.

IF YOU ARE INTERESTED

Answer the questions below and submit with your cover letter.

Link to a preprint, published paper, GitHub repo or portfolio demonstrating relevant work, in place of a CV; the work sample tells us what we need to know.
Write a short paragraph proposing your own research angle using the dataset. It is fine if it is rough; we will refine it together. If you can, name the closest prior paper you are aware of and one way your work would differ.
One or two sentences on your relevant background and how you would approach external validation for this data type.
Why does this specific opportunity interest you, beyond the honorarium?
Your availability and expected timeline. Typical engagement is 2 to 4 weeks from data access to a submitted draft, with one editorial round.

NMLS Mortgage Broker Data Research and Prospect List Building

We are seeking an experienced mortgage-industry data researcher to build a clean, accurate and usable prospect list of independent mortgage brokerage companies, broker owners and key producing brokers.

Our company is a wholesale and correspondent Non-QM mortgage lender. We are targeting mortgage brokers who originate loans for real estate investors, self-employed borrowers and other clients who may need programs such as DSCR, bank statement, foreign national, asset qualifier, ITIN and alternative-documentation loans.

The project will begin with the states where we are currently licensed and actively accepting business. We will provide the selected freelancer with the state priority order after the Upwork contract begins.

We already maintain an existing prospect database. That file will be provided after the contract is established and must be used as an exclusion list. Payment will be based on approved, net-new records that are not already contained in our database.

Initial Paid Project

The initial engagement will consist of two funded fixed-price milestones:

Milestone 1: First 5,000 approved net-new broker records — $250

Milestone 2: Next 5,000 approved net-new broker records — $250

Additional 5,000-record milestones may be offered based on accuracy, consistency and overall performance.

Target Prospects

We are primarily seeking:

Independent mortgage brokerage companies
Broker owners and brokers of record
Producing owners and branch managers
Key mortgage brokers or loan officers working for independent brokerages
Brokers serving real estate investors and self-employed borrowers
Brokers who appear to offer Non-QM, DSCR, bank statement or investor loan products

We are not looking for random individual loan officers with no verified connection to an independent mortgage brokerage.

Responsibilities
Identify actively licensed independent mortgage brokerages in each assigned state
Identify the broker owner, broker of record or another relevant producing decision-maker
Verify NMLS information and current company affiliation
Find accurate business contact information using lawful and permitted research tools
Compare all new records against our existing exclusion database
Remove duplicate, inactive, irrelevant and previously known contacts
Organize the completed data in Excel or Google Sheets
Clearly flag information that cannot be verified rather than guessing

Applicants may use NMLS information, Apollo, LinkedIn and other permitted business-data tools. The final deliverable must be a strong, accurate and usable mortgage-broker prospect list.

Required Data Fields

Each approved record should include:

Mortgage brokerage company name
Company NMLS ID
Broker owner, broker of record or key producing contact
Individual NMLS ID, when available
Job title
Primary target state
Active licensing states
Business email address
Business or direct phone number
LinkedIn profile
Company website
City and state
Source used
Verification status
Exclusions

Do not include:

Banks or credit unions
Inactive companies or licensees
Retail-only mortgage lenders
Loan processors, underwriters or administrative employees
Unrelated real estate professionals
Duplicate records
Companies or contacts already contained in our exclusion database
Contacts whose current brokerage affiliation cannot be reasonably verified

Company NMLS ID should be the primary duplicate-matching field for brokerage companies. Individual NMLS ID should be used for individual contacts.

Deliverables

Each milestone submission should contain:

A clean tab of approved net-new broker records
A separate tab of records excluded because they matched our existing database
A separate tab showing duplicates
A separate tab for incomplete or unverifiable records
A brief summary of records researched, accepted, excluded and unverifiable
Ideal Candidate

The strongest candidate will have:

Experience researching NMLS mortgage-company and individual-license information
A clear understanding of independent mortgage brokers versus retail lenders
Experience building mortgage, lending or financial-services databases
Strong skills with Apollo, LinkedIn, Excel, Google Sheets or similar tools
Experience matching new records against a large exclusion list
Strong duplicate-control and data-verification skills
The ability to manage high-volume projects without sacrificing accuracy
Application Instructions

Please include:

Your relevant mortgage or NMLS research experience
Your experience identifying broker owners and independent mortgage brokerages
The tools you normally use
Your expected completion time for 5,000 approved net-new records
Whether paid data-tool costs are included in your proposal
Your experience working against an existing exclusion database
An existing anonymized portfolio example, when available

Please do not perform custom research or create a new sample for your application.

No unpaid test, free sample or custom trial work will be requested. All custom work will begin only after an Upwork contract has been established and the applicable milestone has been funded.

Accuracy is more important than speed. Random loan officers, inactive licensees, duplicate contacts, retail lenders and unverifiable records will not count toward the milestone total.

Upwork permits fixed-price work to be divided into clearly defined funded milestones, and it prohibits unpaid application work, so keeping the milestone and “no custom sample” language protects the posting.

I run a marketing and automation agency that works with HVAC companies in the United States.

I am looking for a reliable lead researcher who can manually find HVAC companies that are actively paying for advertising and would be good prospects for our services.

This is NOT a generic scraping job.

Every company must be manually verified and meet the criteria below.

IDEAL PROSPECT:

- HVAC / Heating & Cooling company in the United States
- Actively running at least ONE of the following:
- Facebook / Instagram Ads
- Google Search Ads
- Google Local Services Ads (LSA)
- Established business, not a brand-new one-person operation
- Preferably 50+ Google reviews
- Multiple technicians, employees, service vehicles, or other signs of an established operation
- Appears to be actively trying to grow
- Has enough lead/call volume to benefit from automated lead response
- Prefer companies that appear capable of taking additional work

FOR EACH COMPANY I NEED:

1. Company name
2. Website
3. City
4. State
5. Main business phone
6. Owner / founder / general manager name
7. Decision-maker title
8. Decision-maker email if available
9. Facebook Ads: Yes / No
10. Google Search Ads: Yes / No
11. Google LSA: Yes / No
12. Proof/link showing the advertising
13. Google review count
14. Approximate number of locations
15. Signs that they have multiple technicians/employees
16. Growth/capacity signals if available
17. Short notes about why they appear to be a good prospect

DO NOT INCLUDE:

- HVAC supply stores
- Manufacturers
- Lead generation companies
- Marketing agencies
- Companies with no active paid advertising
- Very small businesses with little apparent lead volume
- Duplicate companies
- Businesses outside the United States

QUALITY IS MORE IMPORTANT THAN QUANTITY.

I would rather receive 50 highly targeted and accurate prospects than 200 random HVAC companies.

The final list should be delivered in Google Sheets or Excel.

IMPORTANT:

Before I hire you for the full project, please provide 3 sample HVAC companies that match these requirements so I can verify that you understand the assignment.

If the first batch is high quality, this can become ongoing weekly work.