Discover Data Mining Projects on Upwork

We are seeking male participants with skin tone 1-3 on the Monk skin tone chart for a short AI data collection project. Age requirements are 31–85. You will need a smartphone with a high-quality camera (60fps, 4K), reliable internet, and the ability to follow simple head-movement instructions. No prior experience is required, and clear guidelines will be provided. To apply, please share your age, skin tone, country of residence, and the recording device you have available.

I’m looking for a creative, reliable and experienced Social Media VA to help manage Instagram content for my wellness and fitness businesses.

I need someone who understands aesthetic, engaging and high-quality Instagram Reels that feel natural, authentic and professional — not overly edited or AI-generated.

Job Responsibilities

* Create and edit Instagram Reels using photos and videos I provide.
* Consistently upload and schedule Reels and Instagram Stories.
* Create engaging captions, hooks and calls to action.
* Suggest trending audio, content ideas and Reel concepts.
* Maintain a consistent, clean and aesthetic brand style.
* Repurpose existing content into multiple Reels.
* Research Instagram trends relevant to women’s fitness, wellness, beauty and recovery.
* Help grow our Instagram audience, increase engagement and attract potential clients.
* Organise a weekly content calendar to ensure consistent posting.

What I’m Looking For

* Proven experience creating Instagram Reels.
* Strong skills in CapCut, Canva or similar editing software.
* An eye for minimalist, luxury wellness branding.
* Understanding of Instagram trends and organic growth.
* Excellent communication and attention to detail.
* Ability to work independently and consistently meet deadlines.

Ideal Candidate

Someone creative and proactive who can take my raw content and turn it into beautiful, engaging Reels without needing constant direction.

This is an ongoing role, with the opportunity for long-term work as our businesses grow.

Please send examples of Instagram Reels you’ve created, your hourly rate or monthly package, and your availability.

Daily social media managemnt and copy writing, Content Strategy .

We are looking for an experienced data scraping specialist to assist us in gathering a substantial database of contact information from various online platforms and forums. The goal is to compile a targeted list of 15,000-20,000 Phone numbers. The project involves identifying specific individuals based on certain search parameters and collecting their publicly available phone numbers and other relevant contact details.

Responsibilities:

Scrape multiple websites and forums according to specified search criteria.
Filter and organize the data to ensure accuracy and avoid duplicates.
Deliver data in a structured format, ideally a CSV or Excel file.
Requirements:

Proven experience with data scraping, including knowledge of tools like Python, Scrapy, BeautifulSoup, or other data-scraping software.
Familiarity with handling CAPTCHAs, proxies, or other security features.
Ability to handle large datasets efficiently and with high accuracy.
Additional Notes:

We’ll provide the exact criteria and formatting after hiring, but discretion and confidentiality are essential.
Applicants should have experience managing data-scraping requests involving multiple sites.
If you're detail-oriented and have a track record of completing similar projects, we’d love to work with you!

Interviews will be held next week

Hello,

I'd love to post a job. Here's the details.

1. Emails: I'll provide the email addresses and message templates. You just need to send the emails.

2. DMs (Direct Message): I'll provide links to each customer's profile. You can simply click the links and send them a DM directly.

I'd love to know how many emails or DMs you could send in an hour. Also, would you be open to getting paid based on the number of customers who successfully sign up on our platform through your outreach?

If you're interested, please let me know your rates and availability.

Best Regards
Shuna

I need 300,000 U.S.–based executive email contacts delivered in a single, clean file within 24 hours. Priority industries are hospitality, airlines/aviation, construction, and transportation, though I will accept qualified contacts from any other sector once those four are well covered.

Target titles include:
• Project Manager
• Project Accountant
• CFO, CEO, COO
• Accounting Director, Controller, Accounting Supervisor/Manager
• Chief Accounting Officer
• Accounts Receivable Lead / Accounts Payable Lead
• Escrow Officer

Data must be sourced directly from both ZoomInfo and PitchBook—no scraped or recycled lists—and every email has to be verified so the final bounce rate stays below 2 percent. Each row should contain at minimum: full name, title, company, industry, work email, phone (if available), city, state, and the source platform.

Deliverables & acceptance criteria
– 300,000 unique records that match the titles above
– Verification proof or confidence score for every address
– CSV or Excel file delivered via Freelancer chat or a secure link within 24 hours of award

When you reply, briefly outline your relevant experience completing large-volume, time-sensitive lead generation projects and mention the verification tools you will use to guarantee accuracy.

Skills: Data Processing, Data Entry, Excel, Leads, Web Search, Data Mining, Email Marketing, Lead Generation

I need a one-time data extraction from a register website with approximately 60,000 corporate ID pages. The site is protected by Vercel/Cloudflare WAF, and standard scraping requests are blocked by bot detection. You must use advanced bypass techniques such as Undetected Playwright, Puppeteer, TLS fingerprint impersonation, or residential proxies. You are responsible for proxy rotation and should include proxy costs in your final bid. Scraping must be done responsibly with proper delay and rate limiting to avoid overwhelming the server. Deliverable: a clean Excel or CSV file with one row per company, including metadata, 2025 financials, and key shareholders or management.

We run a B2B referral sales program. Our clients are growth-stage B2B companies, and our network of referral partners (we call them connectors) introduces those clients to the right buyers. The whole thing works only if we can quickly tell a connector “here are the 10 companies in your network worth an intro.” Right now building those lists takes days and the output is messy. We want someone who does this for a living to fix it and then run it.

What you’ll do

Build and maintain a large, accurate target company list in Apollo that matches our ICP. That means knowing which Apollo filters and data points can be trusted and which can’t (revenue on private companies is usually wrong, headcount can mislead), and working with keywords, negative keywords, and lookalikes to cut out agencies, services firms, publishers, tiny PLG startups, and niche vertical plays.

Layer in outside signals to improve accuracy, such as recent funding rounds (Term Sheet, Axios Pro Rata, Next Play and similar), investor patterns, years in business, and G2 presence as a legitimacy check.

Take connector network exports (LinkedIn connections, CRM lists) and match them against the target list, then hand us a short, clean shortlist we can approve in minutes.

Set up and run the workflow in Google Sheets and Claude, including the Apollo MCP connection to Claude. We want one organized system with clear ICP definitions, exclusion rules, and consistent columns: company, website, LinkedIn link (clickable), funding stage, size, short fit note, and which connector knows whom.

Keep it current. Companies raise, pivot, rename, and get acquired, so this is an ongoing job, not a one-time list.

Who we’re looking for

You’ve done serious list building and enrichment in Apollo and can explain its quirks without looking them up. You are comfortable using Claude (or similar) to automate research and cleanup, and you’re strong in Google Sheets. Most importantly, you take ownership. We’ll give you direction and context, and we expect you to tinker, research, test, and come back with a better approach than we asked for. If you need step-by-step instructions for every task, this won’t be a fit.

Engagement

We’d like to start with a paid trial project: build a first-pass target list against our ICP and run one connector match. If that goes well, this becomes an ongoing role at roughly 20 hours per week with a goal of making this more within a few months. Interviews will be with both co-founders.

Overview
I run a group therapy practice in New York and am launching a therapist directory site. I need a clean, deduplicated database of licensed mental health clinicians in New York State, built in phases by region. I also need the script handed over so I can refresh it later.



Phases (each one a separate milestone)



Central NY: Onondaga, Tompkins, Cortland, Cayuga, Oswego, Madison, Seneca, Tioga
Rochester and Finger Lakes (Monroe, Ontario), plus Buffalo (Erie, Niagara)
Capital Region (Albany, Saratoga, Schenectady, Rensselaer), plus Binghamton (Broome)
Hudson Valley (Ulster, Dutchess, Orange, Westchester, Rockland)
Long Island and NYC (all five boroughs)



License types: LCSW, LMSW, LMHC, LMFT, licensed psychologist, PMHNP, licensed creative arts therapist



Approved sources only



NPPES NPI Registry bulk data (filter by NY and the relevant taxonomy codes)
NYSED Office of the Professions online license verification
Clinicians’ and group practices’ own public websites, for email and specialties



Feel free to use: Psychology Today, Headway, Zocdoc, thrivingcampus.com, professional association directories, listservs, or any login-gated or members-only page.



Fields per record
First name, last name, credential, license number and status, practice name, street address, city, county, ZIP, phone, website, public email (if listed), specialties (if listed), telehealth (Y/N, if listed), data source, and date collected.



Deliverables per phase



A Google Sheet or CSV, deduplicated by NPI and license number
A short summary: record count, and the percent of records that include an email
At the end: a documented, re-runnable script (Python preferred) with setup instructions



Requirements



Demonstrated experience with NPPES data or other public records
Accuracy over volume. I’ll spot-check about 25 records per phase.



Screening questions



Have you worked with the NPPES NPI bulk file before? What taxonomy codes would you use for these license types?
How will you deduplicate clinicians who appear at more than one practice address?
Roughly what percent of records do you expect to include an email address, and how would you find them?



Budget: based on hourly work

*Job Type:* Part-Time | Long-Term Opportunity
*Hours:* 10–15 hours per week initially
*Location:* Remote
*Language:* Fluent English and Spanish required*
*Schedule:* Must be available during Ontario, Canada business hours (Eastern Time)

## About Us

GSD Fast Response is a restoration services company based in Ontario, Canada. We specialize in water damage mitigation, mold remediation, demolition, emergency restoration support, and specialized cleaning services.

We work with restoration companies, contractors, and property management professionals.

We are looking for a motivated and experienced *B2B Lead Generation & Cold Calling Virtual Assistant* to help us expand our client base, establish new business relationships, and generate consistent opportunities.

## Key Responsibilities

- Research and identify potential clients throughout Ontario, Canada.
- Make outbound cold calls to businesses and decision-makers.
- Introduce our company and services professionally.
- Contact restoration companies, property management firms, general contractors, and commercial property operators.
- Identify companies looking for reliable restoration subcontractors.
- Conduct professional email outreach and follow-ups in compliance with Canadian requirements.
- Schedule introductory calls and meetings with interested prospects.
- Maintain an organized CRM or Google Sheets database.
- Track daily activities, conversations, follow-ups, and results.
- Provide weekly performance reports.

## Ideal Candidate

- Proven experience in B2B lead generation and cold calling.
- Excellent spoken and written English.
- Experience contacting businesses in Canada or the United States.
- Strong communication, sales, and relationship-building skills.
- Comfortable speaking with business owners, managers, and decision-makers.
- Organized, proactive, and results-driven.
- Familiar with Google Sheets, CRM software, and lead generation tools.
- Experience in restoration, construction, property management, or commercial services is a strong advantage.

## Our Goals

Our primary objectives are to:

1. Establish new subcontracting relationships with restoration companies.
2. Generate opportunities with property managers, contractors, and commercial clients.
3. Build a qualified database of potential customers and business partners.
4. Schedule meetings that can develop into long-term contracts.

## What We Offer

- Part-time remote opportunity with the possibility of increasing hours.
- Long-term collaboration based on performance.
- Clear expectations and ongoing communication.
- An initial paid trial period to evaluate compatibility and performance.

## How to Apply

Please include the following information in your proposal:

1. Describe your previous B2B cold calling experience.
2. Have you worked with Canadian or American companies?
3. Have you generated leads for construction, restoration, cleaning, or property management businesses?
4. What tools do you use to find and organize leads?
5. How do you measure your success?
6. What is your hourly rate and availability?

*Please include a short voice recording introducing yourself and describing your cold calling experience.*

We are looking for someone who can confidently represent our company, build professional relationships, and help generate real business opportunities.

We look forward to hearing from you!

Need a freelancer to scrape LinkedIn for current and former employees of two companies, with a total of less than 5,000 profiles. The work includes collecting relevant employee information and organizing the data into a clean, structured format. Please share examples of similar projects and your approach to handling LinkedIn data responsibly.

We're looking for an experienced lead generation freelancer to build a high-quality list of privately owned construction companies across the United States.

We're starting a business that helps established companies explore opportunities to license their historical operational data to AI companies. We're looking for construction businesses that have been operating for years and likely have substantial records, including project documentation, estimates, invoices, job histories, and internal communications.

Ideal Company Profile:

Industry: Construction (general contractors, commercial construction, roofing, HVAC, plumbing, electrical, specialty contractors, etc.)

Location: United States

Company size: Ideally 20–500 employees

Years in business: Preferably 10+ years

Ownership: Privately owned, preferably founder- or family-owned

Priority: Established businesses with significant operational histories

Information Required for Each Lead:

Company name

Website

Industry / construction specialty

Headquarters city and state

Estimated employee count

Year founded

Owner, founder, CEO, or president's name

Verified direct phone number (strongly preferred)

Verified business email address

LinkedIn profile of decision-maker

Source URLs for verification

What We're Looking For:

We care much more about quality than quantity. We want accurate, actionable leads for direct phone outreach—not a generic database dump with outdated contact information.

Please deliver the leads in a clean Google Sheet or Excel file.

Initial Project:

We're looking to start with a paid test of 50 leads, with the opportunity to expand to 500–1,000+ leads and ongoing work if the quality is strong.

When Applying, Please Include:

Your experience building B2B lead lists.

Which tools you use (Apollo, LinkedIn Sales Navigator, Clay, ZoomInfo, etc.).

How you verify phone numbers and email addresses.

Your price per 100 verified leads.

A sample of similar work you've completed.

We're looking for someone reliable who can become a long-term partner as we scale.

Need a freelancer to scrape prices from multiple websites using a large list of URLs. The work includes extracting product prices, handling a high volume of requests, and organizing the results clearly. Please share relevant experience with similar scraping projects and your approach to managing large-scale data collection efficiently.

B2B Lead Researcher — Recruiting & People Operations Services

Company: Harley & Remy Associates
Location: Remote
Engagement: Paid trial with potential for ongoing freelance work

Harley & Remy Associates provides recruiting and People Operations support to businesses. We are seeking a detail-oriented researcher to build accurate prospect lists for our sales consultants.

Responsibilities

- Research U.S. companies that fit our agreed target industries and company sizes.
- Identify potential needs for recruiting or People Operations support, including current hiring activity.
- Find appropriate decision-makers, such as founders, CEOs, COOs, and HR leaders.
- Verify business emails and confirm contacts’ current roles.
- Deliver organized lists in Google Sheets or Excel.
- Remove duplicates and check against our existing prospect and client lists.
- Group prospects by industry or territory for assignment to our sales consultants.

Information required for each prospect

- Company name, website, industry, location, and approximate employee count.
- Contact name and current job title.
- Contact’s LinkedIn profile and verified business email.
- Business phone number, when available.
- A brief explanation of why the company fits our target.
- Source links supporting hiring activity or other relevant findings.
- Email verification result and date.

Qualifications

- Experience researching U.S. B2B prospects.
- Ideally, experience supporting recruiting, staffing, HR consulting, or professional services businesses.
- Familiarity with Apollo, LinkedIn, email verification tools, and spreadsheets.
- Strong written English, attention to detail, and clear communication.

Initial paid trial

Research 25 companies with one or two relevant decision-makers per company. We will confirm the target criteria before work begins and review the first five companies to ensure alignment.

The trial covers research and list building only. We will handle outreach. Successful work may lead to recurring assignments supporting a team of 10 sales consultants.

Please include in your response

1. Examples of similar projects you have completed.
2. Your research and email verification process.
3. Whether you personally complete the work or use a team.
4. Your fixed price and turnaround time for the trial.
5. Whether research tools and verification costs are included.
6. Your policy for replacing duplicate, incorrect, or out-of-scope records.

Please use sources and tools you are authorized to use. We are looking for carefully researched prospects that match our criteria, rather than a bulk contact database.

I’m looking for a reliable and detail-oriented Real Estate Data Research Specialist to research U.S. real estate properties, verify property information, and organize accurate data in spreadsheets.

Tasks
Research residential and rental properties online.
Collect property addresses, prices, rental rates, and other relevant details.
Research comparable properties and market pricing.
Verify property information using reliable online sources.
Gather property details from websites such as Zillow, Realtor.com, and Redfin.
Organize and update property data in Excel or Google Sheets.
Check data for accuracy, missing information, and duplicates.
Maintain clear records and include research sources where needed.

Requirements
Experience in real estate or online data research.
Familiarity with the U.S. real estate market is a plus.
Good knowledge of Excel or Google Sheets.
Strong attention to detail and data accuracy.
Ability to follow instructions and communicate clearly.

We are looking for an experienced Facebook Group Data Scraping and Lead Generation Specialist to collect up to 5,000 business contact records by November 10, 2026.

We will provide the Facebook groups to research. Your role will be to identify businesses represented by group members and collect their publicly available business contact information using permitted research methods.

Required Data

All information must be delivered in a Google Sheet with the following four columns:

Business Name
Email Address
Business URL (Website)
Phone Number
Requirements

Research the Facebook groups provided to identify relevant businesses.

Collect up to 5,000 business contact records.

Find and verify business information using publicly available sources.

Ensure all contact details are accurate and up to date.

No duplicate businesses or records.

No fabricated or unverified information.

Use compliant research methods without unauthorized collection of private Facebook member information.

Deliver all information in one organized Google Sheet.

Deadline

November 10, 2026

We would like the full dataset completed by this date, with progressive delivery as records are collected.

When Applying

Please provide:

Your experience with Facebook group data research and lead generation.

The tools and methods you use to collect and verify business contact information.

Your total price for up to 5,000 completed records.

Your estimated number of records per day.

Confirmation that you can meet the November 10 deadline.

We are looking for someone who can start immediately and deliver accurate, high-quality business contact data within the required timeframe.

I need help scraping Keller Williams to collect a complete list of agents and brokers across North America. The website currently shows only 6–10 agents per page, but I want the full dataset. Manual collection is not practical due to the size of the list, which includes over 150,000 agents. I’m looking for someone who can extract this data efficiently and organize it for easy use.

We need a reliable freelancer to enter and organize data accurately in Excel. The work includes copying information from provided documents, formatting spreadsheets, and maintaining clean, consistent records. Attention to detail is important to ensure data is entered correctly and errors are minimized. This is a part-time opportunity for someone who can work independently and deliver high-quality results on time.

We have an existing list of companies in a Google Sheet and need a meticulous Data Researcher to build out our outreach database. Your job is to research each company on the list, identify the correct decision-maker handling their marketing and partnerships, and extract their direct contact information.
We are targeting individuals holding the following titles (or equivalent):
• Influencer Marketing Manager / Lead
• Brand Partnerships Manager / Director
• Public Relations (PR) Manager / Director
• Marketing Director / Marketing Manager

Scope of Work

For each company provided in our Google Sheet, you will research and fill in the missing fields with accurate, up-to-date data:
• Full Name of the target professional
• Direct Business Email Address (No generic info@ or contact@ emails)
• Direct Phone Number / Extension (If available)
• Individual LinkedIn Profile URL

Required Skills & Tools

• Proven experience in B2B Lead Generation and Data Mining.
• Expert-level navigation of LinkedIn Sales Navigator to locate the exact job titles needed.
• Proficiency with email verification and scraping tools (e.g., Apollo.io, Hunter.io, RocketReach, Findymail).
• Strict attention to detail data must be clean, accurately formatted, and verified to prevent bounces.
• Ability to work directly within Google Sheets.

Deadline: Saturday

To Apply

Please submit a brief proposal outlining your experience with similar B2B lead generation projects. Let us know what data-mining tools you currently use. Bonus points if you include a small sample (2–3 leads)

Hi Elicia,

I’m Bhuvanesh, Co-founder of The Landing Page Company, a design and CRO agency helping D2C brands improve their Shopify stores and convert more visitors into customers.

We offer end-to-end services across UI/UX, AI product imagery, content, graphics, and development. Over the past 2+ years, we’ve worked with 1,000+ brands, including international brands and 50+ Shark Tank brands, and have won 15+ international design awards.

We’re currently looking for an experienced lead generation specialist who can help us acquire clients in the US D2C market. The focus would be on identifying relevant brands, reaching out to decision-makers, and generating qualified leads for our services.

I’d love to learn more about your experience with lead generation, particularly in the US market, and how you typically approach sourcing and converting prospects for agencies like ours.

Would you be open to a quick chat?

Best regards,
Bhuvanesh Shastri
Co-founder, The Landing Page Company

Acquiry is an acquisition advisory firm. We’re looking for an experienced OSINT and contact-research specialist to help us reach the owners and decision-makers behind difficult-to-research domains and online businesses.

We are engaged by buyers to approach businesses with acquisition offers. Often, the challenge isn’t finding the business; it’s finding a reliable way to reach the person who owns it.

We already use enterprise enrichment APIs and tools such as RocketReach and DomainIQ. We need someone who can go beyond standard database searches, connect fragmented information and distinguish current ownership from outdated records.

Many targets operate in iGaming and other sectors where ownership is deliberately low-profile. Experience researching these businesses, cross-border companies and layered ownership structures is highly relevant.

We will provide a domain name. For each assignment, we need:

* The likely current owner, operating company and relevant decision-makers, with evidence explaining their connection to the domain.
* Direct business emails and publicly listed business phone or WhatsApp contacts where available.
* Alternative professional routes to the right person, such as an authorised representative or relevant business profile.
* Source links, verification dates, confidence levels and a clear distinction between confirmed facts and unresolved leads.
* A concise, structured spreadsheet entry we can use immediately.

We do not need home addresses or unrelated personal information. Research must use lawful public sources and properly licensed data. No impersonation, leaked databases, unauthorised access or contacting targets without our approval.

This is research quality over volume. An honest, well-documented unresolved result is better than guessed contact information. Email deliverability alone does not prove that an address belongs to the owner.

We’re seeking a long-term relationship and are open to hourly or per-domain pricing. We will pay appropriately for specialist expertise and reliable results, rather than choosing solely on the lowest rate.

Job type: Part-time, freelance
Experience level: Intermediate
Hourly budget: £7–£10
Initial hours: 6–8 hours per week
Duration: Initial 2-week paid trial, with potential for ongoing work
Location: Remote, worldwide

Job Overview

We are a UK-based business developing strategic partnerships with AI-data, data annotation, AI model training and outsourcing companies.

We have already identified an initial list of target companies. We are looking for a skilled researcher who can identify the right decision-makers, obtain and verify professional business contact information, and build an accurate database for our outreach team.

This is primarily a contact research and data enrichment role, not a general market research position.

Key Responsibilities

Research AI-data companies, annotation providers, AI evaluation businesses and outsourcing firms.

Identify relevant decision-makers, including Vendor Managers, Project Managers, Heads of Data Operations, Partnerships Managers, Delivery Directors and Founders.

Find and verify professional LinkedIn profiles and business email addresses.

Use permitted public sources, company directories and licensed B2B databases to collect accurate business information.

Research supplier directories, industry events, exhibitor lists and professional networks.

Identify former employees of companies such as Scale AI, Mercor, micro1, Defined.ai, DataBaker and similar organisations.

Identify consultants and agency founders with established networks in AI project delivery and supplier partnerships.

Remove duplicate contacts and maintain an organised Google Sheets database.

Record the source of each contact, their role and why they may be relevant.

Flag active partnership programmes, vendor applications and potential project-demand signals.

Tools & Skills

Experience with some of the following is advantageous:

LinkedIn and LinkedIn Sales Navigator

Apollo.io

Hunter.io

Snov.io

Google advanced search

Clutch and industry directories

Google Sheets

B2B contact enrichment and email verification


Initial Paid Trial

Research our existing list of AI-data companies and deliver:

10 verified companies.

20 relevant decision-makers.

Available professional email addresses and LinkedIn URLs.

10 former AI-data industry professionals or consultants.

Five industry directories, supplier networks or event sources worth monitoring.

Every entry should include evidence of the person's current role and the contact-information source.

Ideal Candidate

You are detail-oriented, efficient and experienced in B2B lead generation or contact research.

Prior experience researching technology, staffing, AI-data or outsourcing businesses is a plus.

We value accurate, relevant contacts over large volumes of unverified leads.

To Apply

Please answer:

Which tools do you use for B2B contact research and email verification?

Can you provide an anonymised sample of a previous B2B lead database?

Have you researched AI, technology, recruitment or outsourcing companies before?

How many thoroughly verified professional contacts could you reasonably produce in eight hours?

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Please begin your proposal with the words AI Partnerships Research so we know you have read the brief.

We are looking for an experienced specialist to help our logistics business generate quality leads and automate our sales process using AI and GoHighLevel.

Responsibilities:

- Generate targeted B2B leads for our logistics services.
- Set up and manage GoHighLevel CRM and sales pipelines.
- Build automated lead follow-ups and nurturing workflows.
- Integrate AI tools to improve lead qualification and outreach.
- Track results and optimize performance.

Requirements:
Proven experience with GoHighLevel, AI lead generation, and CRM automation. Experience in logistics or B2B services is an advantage.

Please share relevant experience and examples of similar projects you have completed.

We’re recruiting male participants who fall under tone 1–3 of the monk skin tone chart for a short AI data collection project. Age requirements: 31–85. You’ll need a smartphone with a good-quality camera (60fps, 4K), reliable internet, and the ability to follow simple head-movement instructions. No prior experience is required, and clear guidelines will be provided. To apply, please share your age, skin tone, country of residence, and the recording device you have available.

We are a wellbeing education platform used by international schools. We need a careful researcher who is also confident on the phone to fill gaps in our school contact database, starting with East Asia, then Western Asia and South-East Asia. This is research only: you won’t pitch or sell anything.

Your task

We’ll give you a spreadsheet of schools in priority order. For each school, either find the email of a named person (e.g. Head of Wellbeing, Principal, Counsellor), or identify the right person and find their email.

Work each school in this order

Public sources first: school website, staff pages, LinkedIn, newsletters and conference lists. Business emails only.
Phone calls (required): if public sources don’t give you a contact, call reception and ask who leads student wellbeing and what their best email is. Introduce yourself as calling on behalf of Wellio, and never pitch or imply a relationship. Log the date, who you spoke to and the outcome for every call.
AI and enrichment tools to extend reach: use these on whatever is left. You supply and pay for your own tools and calling method. Don’t upload our school list to any AI service that stores or trains on your data.

Accuracy and quality control

You’re responsible for every entry. Record the source and mark it Verified or Inferred. Nothing from a tool or AI counts as Verified until it’s checked against a source or an email verifier.
Each week we’ll spot-check 10% of your entries. If more than 5% are wrong, we’ll pause to fix the process before you continue.
If you can’t find a contact after all three steps, mark it not found and move on.

Pilot: we start with 50 schools to agree quality, speed and format. More work follows for the right person.

You should have

Fluent spoken and written English, comfortable making international calls across Asian and Middle East time zones
Strong research skills and attention to detail, ideally in lead research or contact databasing
Bonus: Mandarin, Japanese, Korean, Arabic or Turkish

Budget and duration: hourly, US$8–12/hr, capped at 20 hrs/week, for about 4–6 weeks after the pilot. Tell us your rate and availability. Begin your proposal with the word “Wellio”.

I need a list of 500 Australian businesses (with employee numbers between 10-50) with the following data:
1. business name
2. business website
3. location (state)
4. Business owner/Managing Director
5. phone number
6. market segment/practise/type

I need a split across the following segments: Tech Managed Services, Trades, Lawyers, Labour hire companies, Construction.

I’m sitting on a stack of PDFs, scanned docs, and images that hold important data, but I need it in a usable form. Your task is to pull that information out, clean it, run the necessary calculations, and then translate the numbers into clear, actionable insights.

What I need from you:
• A cleaned, well-structured dataset (Excel, CSV, or Google Sheet) that includes any useful totals or calculated fields.
• A written summary pinpointing key findings, trends, and anomalies.

Accuracy matters, so part of the job is double-checking the OCR output and validating every figure before you send it back. If you lean on Python, pandas, Excel Power Query, or similar tools to speed things up and keep everything reproducible, that’s perfect—just tell me how you plan to tackle extraction and quality control.

Let me know your proposed approach and expected turnaround, and we can get started right away.

Skills: Data Processing, Data Entry, Excel, PDF, Word, Data Mining, Copy Typing, Data Analysis, Data Management

I need someone to build a database of 100–250 contacts in Sydney working in the food industry for a meat product. The contacts should include retailers, buyers, restaurants, waiters, communicators, journalists, and other relevant roles. All contacts must be based around Sydney and directly relevant to the food trade, with a focus on meat-related businesses and professionals (non-halal product).

I would need it as fast as possible, apologies in advance, by Friday ideally

I need someone to scrape all restaurants in the Netherlands advertising on TheFork.com. For each restaurant, I want to identify which table reservation system they are using on their website. The goal is to gather a complete list of restaurants and map each one to the reservation platform they use. Please share your approach, timeline, and how you will ensure accuracy and completeness.

**Senior Research Analyst — Healthcare Market Intelligence**

We are seeking an experienced research professional to support strategic planning and business development through rigorous market intelligence, public-data analysis, and competitive research.

The ideal candidate combines strong investigative skills, quantitative judgment, and effective use of AI-assisted research tools. This is an independent contributor role for someone who can manage complex assignments and deliver findings that withstand scrutiny.

**Responsibilities**

- Conduct research across government publications, industry sources, public datasets, and company materials.
- Extract and reconcile information from spreadsheets, PDFs, reports, and interactive dashboards.
- Analyze market volumes, service categories, organizational segments, and state-level differences.
- Evaluate source quality, reconcile inconsistent definitions, and distinguish reported facts from estimates.
- Produce structured Excel workbooks and concise reports with clear sourcing and documented methodology.
- Identify information gaps and develop practical approaches to resolving them.
- Manage multiple research workstreams with clear progress tracking and reliable delivery.

**Required qualifications**

- Proven experience delivering substantial market research, business intelligence, public-data, or policy research projects.
- Strong analytical skills and attention to definitions, reporting periods, counting units, and data quality.
- Advanced Excel proficiency and experience working with complex or fragmented datasets.
- Demonstrated ability to work independently, investigate ambiguous questions, and communicate clear conclusions.
- Excellent written English and professional documentation skills.

Healthcare, insurance, government-program, or regulated-industry research experience is strongly preferred.

**AI research proficiency**

You should be adept at using AI to accelerate research, extraction, and analysis while independently validating material findings.

We expect a disciplined approach to source verification, reproducible calculations, transparent estimation, and handling uncertainty. Familiarity with AI tools alone is insufficient; demonstrated research judgment is essential.

**Application requirements**

Please provide:

- A summary of relevant research experience and your contribution to two representative projects.
- A redacted research report or workbook demonstrating analytical depth and source documentation.
- A brief explanation of how you incorporate AI into your workflow and verify its output.
- Your availability and proposed rate.

Shortlisted candidates may complete a paid research exercise. Detailed project scope will be shared during the selection process.

Job Post: Data Intelligence & Cold Email Specialist
Oct 27, 2026 · Zulfiqar Ali
Overview
Title: B2B Data Intelligence & Cold Email Deliverability Specialist: Build a Verified List of Forex/Algo Fund Managers ($10M–$100M AUM) and Run the Outreach Campaign
We're hiring one expert to own our institutional outreach end to end. First, you'll build a high-precision, verified contact list of currency traders and wealth managers worldwide. Then you'll set up the sending infrastructure and run a compliant, multi-touch cold email campaign to that list.
This is neither a simple scraping job nor generic cold email. It combines regulatory research, multi-source verification, deliverability engineering and anti-spam compliance across 40+ jurisdictions. Because you own both the data and the delivery, list quality and campaign results are yours from start to finish.
Target audience
Fund managers, wealth managers, family offices and C-suite personnel who:
• Actively trade G-10 currencies or run algorithmic FX strategies
• Manage $10M–$100M in assets under management (AUM)
• Have demonstrated expertise in quantitative or systematic trading
• Work at CTAs (Commodity Trading Advisors), RIAs, multi-family offices, hedge funds or proprietary trading firms
This audience is hard to reach on both fronts:
• Hard to find: AUM for small and mid-market firms is often private, so you'll combine regulatory filings, fund documents and alternative data. FX activity must be verified through strategy descriptions, regulatory disclosures or published market data.
• Hard to land with: These people are inundated with pitches, sit behind tight security and email filtering, and will immediately flag bad-faith or spammy outreach.
• Spread across regimes: Prospects span 40+ jurisdictions with different data availability and anti-spam rules.
Accuracy is non-negotiable. One bad email wastes campaign budget and damages sender reputation.
Part 1: Build the verified prospect list (Weeks 1–2)
Initial scope is [1,000 contacts], with the option to expand. Every record needs:
• Full name, current job title, reporting manager (if available)
• Firm legal name, website, LinkedIn/professional profiles
• Verified direct business email and phone number
• Physical location (country, city, time zone)
• AUM: reported amount plus source (fund fact sheet, SEC/FCA/ASIC filing, press release)
• Firm classification (hedge fund, RIA, family office, CTA, prop shop, etc.)
• Evidence of FX/algo trading: strategy description, prospectus excerpt or regulatory filing reference
• Source documentation for the record
Records must be fully deduplicated, emails verified through a reputable service (target: 95%+ validity), and segmented by geography, AUM band ($10–25M, $25–50M, $50–100M) and firm type. These segments feed directly into the campaign in Part 2.
Part 2: Run the cold email campaign (Weeks 1–6 and ongoing)
Infrastructure setup and warm-up run in parallel with list building, so sending can start as soon as the list is ready.
Infrastructure and sender reputation (Weeks 1–2, in parallel with Part 1)
• Purchase and configure dedicated sending domains; set up mailboxes in Google Workspace or Microsoft 365
• Configure SPF, DKIM, DMARC and BIMI, plus custom tracking domains
• Run a systematic warm-up (Warmup Inbox, Lemlist warm-up or manual low-volume engagement)
• Monitor reputation via MXToolbox, Google Postmaster Tools and Return Path data
• Configure the sending platform (Instantly, Smartlead, Lemlist or Outreach) with bounce handling, spam-trap monitoring, compliance logging and CRM integration if needed
Campaign architecture (Week 3)
• Import your verified list, segmented by geography, AUM band, firm type and vertical, and clean it against suppression lists
• Build time-zone-aware schedules (e.g., US East Coast 9–11am ET, Asia Pacific 8–10am local)
• Load our templates with personalization (first name, firm, trading strategy) and set up A/B tests on subject lines, hooks and CTAs
• Configure 3–5 follow-ups over 2–3 weeks, with prominent, working unsubscribe links
• Embed required disclosures, sender identity and physical address; automate GDPR/PECR opt-outs, CASL markers and audit logging of all send, bounce and unsubscribe events
Execution and monitoring (Week 4 onward)
• Start at 100–300 sends/day and scale only as bounce and complaint rates allow; retry soft bounces; rotate domains if complaints spike
• Monitor delivered, bounce, complaint and unsubscribe rates daily via Postmaster Tools, Microsoft JMRP, ISP feedback loops and third-party tools
• Troubleshoot ISP-specific filtering (Gmail, Outlook, corporate firewalls) and spam-test with tools such as Mail Tester
• Capture and tag every reply (positive interest, question, unengaged, bounced) and route interested prospects to our CRM or sales inbox immediately
• Because you built the list, replace any hard-bounced contacts promptly and feed bounce data back into list quality
Deliverables
Deliverable
What it includes
When
Master contact database
Excel, Google Sheets or CSV with all fields above; deduplicated; 95%+ email validity; segmented by geography, AUM band and firm type
End of Week 2
Verification report
Sources used and confidence level per data point; how AUM was estimated when not published; which records are multi-source vs. single-source
End of Week 2
Quality assurance
Random sampling audit showing your work on 10–15 records; deduplication report (duplicates removed, merge criteria)
End of Week 2
Live sending infrastructure
Authenticated, warmed domains and mailboxes; configured platform; compliance logging in place
End of Week 3
Live campaign
Segmented, time-zone-aware sequences with A/B tests and compliant footers
Week 4
Weekly performance reports
Sent, delivered, hard/soft bounces; open, click, reply and positive-reply rates; complaint rate and domain reputation; best-performing segments
Weekly
Optimization recommendations
A/B winners and losers; copy and timing changes; list-fatigue predictions and when to stop sending
Weekly
Warm leads list
Interested prospects tagged and routed to sales
Ongoing
Post-delivery support and ongoing work
• One round of list revisions within 14 days of delivery
• Replacement of any contacts with bounced emails
• Monthly domain reputation reviews
• Quarterly list refresh methodology and updates
• Updates on ISP algorithm and compliance changes
Skills and tools
Area
Tools and skills
Prospect data platforms
LinkedIn Sales Navigator (advanced search), Apollo.io, ZoomInfo, Clearbit, SimilarWeb
Financial and regulatory sources
SEC EDGAR (incl. 13F), FCA register, ASIC database, CFTC/NFA registry, Bloomberg data (if available)
Alternative data
Crunchbase, PitchBook, fund strategy databases, regulatory filing APIs, OSINT to triangulate AUM and trading activity
Email verification
Hunter.io, RocketReach, Clearbit, NeverBounce (with API integration)
Email authentication
Hands-on SPF, DKIM, DMARC, BIMI and custom DNS setup and troubleshooting
Reputation monitoring
Google Postmaster Tools, Microsoft JMRP, ISP feedback loops, MXToolbox, Cisco Talos
Sending platforms
Instantly, Smartlead, Lemlist or similar at 100K+ emails/month; rate limiting, threading, personalization, CRM sync via API
Analytics
Deliverability vs. engagement metrics, A/B testing and statistical significance, open/click tracking troubleshooting
Data handling
Python/R for cleaning and deduplication; Excel/Sheets (VLOOKUP) or SQL; Python/SQL for custom reporting
Ideal candidate
• 5+ years in B2B lead research or data intelligence, and hands-on experience running cold email at scale
• Financial services background strongly preferred: you understand fund structures, trading strategies and institutional communication norms
• Proven ability to work with regulatory databases and interpret financial disclosures
• Has built lists for, and run campaigns to, institutional finance or fintech audiences
• Detail-obsessed and self-directed: you can scope the approach, justify your methodology and fix problems before we notice them
Compliance and working together
Compliance requirements
• Source all data through lawful, ethical methods only: no purchased "blacklist" databases and no automated scraping without explicit permission
• Working knowledge of GDPR, UK GDPR/PECR, CASL, CAN-SPAM and LGPD (if applicable) for both B2B prospecting and sending
• Clear understanding of the difference between legitimate B2B lead research and data scraping
• Automated opt-out handling, suppression list management and a full audit trail
• NDA signature and secure data handling
What we provide
• Email copy and campaign brief (or you can propose copywriting)
• Required legal disclosures and compliance language
• Clear success metrics and expectations
What we expect from you
• End-to-end ownership, from first data source to warm lead in our CRM
• Proactive problem-solving: a reputation dip or bounce spike is yours to investigate and fix
• A compliance-first mindset with no shortcuts
• Transparent reporting and an honest assessment of results
How to apply
Please include:
1. Portfolio and case studies: 2–3 list-building projects and 2–3 cold email campaigns (anonymize clients if needed).
◦ Lists: size, how you verified key data points, tools used
◦ Campaigns: industry/audience, emails sent, delivered %, open %, reply %, positive-reply %, and challenges you solved
2. Data methodology: Which sources you'd start with, how you'd verify AUM for firms that don't publish it, and how you'd identify FX/algo trading activity.
3. Deliverability approach: Your step-by-step warm-up timeline, how you monitor and recover sender reputation, and how you handle Gmail, Outlook and corporate filters.
4. Verification standards: What "verified" means to you and how you rate confidence levels.
5. Compliance in practice: How you handle GDPR, CASL and CAN-SPAM, with an example of a compliant template and your opt-out/suppression process.
6. Tech stack: The platforms and tools you'd use for each part and why.
7. Pricing: A fixed price for the list of [X,000 contacts], plus your campaign fee (fixed, hourly or setup + monthly). State what's included in setup vs. ongoing management and whether you charge per email sent.
8. Timeline: How quickly you can deliver the list and have campaigns live.
Budget: [fixed project price] · Duration: [6 weeks, with potential for ongoing list maintenance and campaign management] · Experience level: Expert