
AI Data Services Projects
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Terminal Bench Expert
Role- Terminal Bench Expert Employment Type - Remote 3-10 years of experience 3–10 years of experience in software engineering or relevant domains. Strong debugging, reasoning, and analytical skills Full-time. 40 hours per week with an overlap of 4 hours with PST. What does day-to-day look like: • Design high-quality Terminal-Bench task ideas and specifications. • Develop complex tasks requiring reasoning, investigation, and debugging. • Write clear task descriptions, solution approaches, and verification logic. • Define deterministic, outcome-based evaluation criteria. • Identify realistic failure modes, edge cases, and operational constraints. • Create tasks that challenge AI systems while remaining solvable by experts. • Collaborate with reviewers to refine task quality and difficulty. • Contribute expertise across one or more specialized domains. Required Skills: • 3–10 years of experience in software engineering or relevant domains. • Strong debugging, reasoning, and analytical skills. • Good understanding of system design, workflows, and dependencies. • Ability to analyze complex systems across multiple layers. • Experience with production systems, pipelines, or large-scale workflows. • Strong technical writing and documentation skills. • Exposure to LLMs, agentic systems, or AI evaluation frameworks. • Experience reviewing technical specifications or designing validation logic. Domains (Any of the following): • Software Engineering & Code Operations • Debugging & Codebase Navigation • System Administration & Shell Workflows • File & Text Processing Pipelines • Data Engineering (ETL & Data Pipelines) • Database & SQL Operations • Machine Learning Pipelines & MLOps • Post-training & Model Finetuning Workflows • AI Evaluation & Benchmarking Systems • Retrieval, Search & Ranking Systems • GPU / Systems Performance Optimization • Distributed Systems & Infrastructure • Cloud & Platform Engineering • DevOps & CI/CD Systems • Build & Dependency Management • Scientific & Numerical Computing • Simulation & Optimization Systems • Formal Methods & Theorem Proving • Document & Structured Data Processing (PDFs, Excel, etc.) • Media Processing (Video, Audio, Images via CLI tools) • Programmatic Graphics & Design (SVG, layout, rendering) • Data Visualization & Reporting Workflows • Geospatial & Spatial Data Processing • Time-series & Forecasting Systems • Security, Forensics & Reverse Engineering • Cybersecurity & Vulnerability Analysis • Networking & API Integration Workflows • Automation & Multi-step Toolchain Orchestration • CLI Tooling & Developer Tool Workflows • Version Control & Git Workflows • Observability, Logging & Monitoring • Storage Systems & File Systems • Finance & Accounting Workflows • Quantitative Finance & Risk Modeling • Legal & Compliance Workflows • Healthcare & Clinical Data Processing • Supply Chain & Logistics Operations • Marketing & Growth Analytics • CRM & Sales Operations • HR & Recruiting Analytics • Consulting & Strategy Modeling • Investment Workflows • Operations Research & Decision Optimization • Benchmark Infrastructure, Adapters & Harness
2 days ago14 proposalsRemoteLLM QA Reviewer / AI Output Validator (RAG Systems)
Description We are building a small network of specialists focused on AI reliability and LLM validation. At ProoflineAI, we work with companies deploying AI assistants and RAG-based knowledge systems. Our goal is to ensure these systems are accurate, grounded, and production-ready. This role is focused on evaluating AI outputs—not building models. What You’ll Do You will help assess and improve AI system reliability by: • Reviewing LLM responses for factual accuracy • Detecting hallucinations and fabricated references • Verifying grounding against source documents • Identifying retrieval vs generation failures in RAG systems • Scoring responses using structured evaluation criteria • Creating test prompts and edge cases • Documenting failure patterns clearly Ideal Profile You may be a strong fit if you have experience in: • AI QA / AI annotation • NLP or LLM evaluation • QA testing / data quality • ML Ops / AI operations • Reviewing AI-generated content critically Strong written English and attention to detail are essential. Location (Preferred) We are primarily looking to work with candidates based in: Poland Romania Portugal Estonia Latvia Lithuania Compensation Depending on workload: • €800 – €1,200/month (part-time) • €1,200 – €1,800/month (full-time) Long-term collaboration possible based on performance.
19 days ago22 proposalsRemoteI need someone to populate a spreadsheet for me
**Project: Contact Research & Data Enrichment — 163 B2B SaaS Companies** **Overview** I have a spreadsheet of 163 companies that exhibited at Accountex London / FD Show 2026 (13-14 May, ExCeL London). All are B2B software, SaaS, fintech or technology companies operating in the UK accounting and finance sector. I need the spreadsheet enriched with key decision-maker contacts at each company. **What I need per company (where findable):** - CEO / Founder — Full name + LinkedIn URL - Head of Sales / VP Sales / Sales Director — Full name + LinkedIn URL - Head of Marketing / VP Marketing / Marketing Director — Full name + LinkedIn URL If a company is small (under 20 people), the CEO may cover all three — that's fine, just note it. **Deliverable** The same Excel spreadsheet returned with the three contact columns populated. LinkedIn URLs are the priority — email addresses are a bonus if you have access to a tool like Apollo or Hunter. **Source** LinkedIn is the primary source. Please use current job titles — we only want people in role now, not historical. **Volume** 163 companies. Some are large (Sage, Xero, Workday, Intuit) — for these, focus on the UK Head of Sales and UK Head of Marketing specifically, not global titles. **Timeline** 48–72 hours preferred. **Budget** Please quote based on your experience with similar data enrichment projects. Fixed price preferred. **Important** Quality over speed. A contact that's wrong or out of date is worse than a blank cell. If you can't find a confident match for a role, leave it blank rather than guess.
24 days ago47 proposalsRemoteCold outreach to potential clients of my AI automation agency
I run an AI automation agency that specialises in helping recruitment and staffing firms automate CRM reporting and reduce manual admin. We streamline candidate and client data workflows, and build machine learning models that improve hiring efficiency through predictive insights like candidate prioritisation, pipeline forecasting, and placement probability.
25 days ago2 proposalsRemote
Past Projects
AI Marketing Specialist (Project)
Qualifications We are looking for a highly capable and independent AI Marketing Specialist who can manage the full marketing intelligence and optimization workflow from start to finish. This role is ideal for someone who is strategic, analytical, creative, and comfortable using AI tools to improve marketing performance, content planning, reporting, and discoverability. Key Requirements The ideal candidate should have experience in market research, audience analysis, digital marketing strategy, content planning, reporting, and AI-powered optimization. They must be able to work independently and take ownership of the entire process, from identifying market opportunities to preparing actionable insights for the content team. Responsibilities & Required Skills Market Analysis & Audience Intelligence Ability to research market trends, tourism demand, customer behavior, competitors, seasonal patterns, and travel intent. Audience Segmentation Ability to define and organize target audiences by country, language, interests, budget, behavior, and travel intent. AI Strategy & Topic Ideation Ability to use AI tools to develop content pillars, priority topics, campaign ideas, content angles, and topic strategies aligned with business goals. Channel Reporting & Performance Tracking Ability to monitor and report on key marketing metrics such as reach, engagement, clicks, leads, conversions, and content performance across channels. AI Analytics & Optimization Ability to analyze data, identify trends, recommend next-best content, improve timing, optimize creative direction, and suggest performance improvements. AI Search Discoverability Ability to structure content so it is easy for AI search engines and AI assistants to understand, find, and recommend. Experience with SEO, structured FAQs, knowledge content, and AI-search-ready content is preferred. Insight Briefing Ability to prepare weekly insight briefs, recommendations, dashboards, and optimization reports for the video or content production team. Preferred Experience Experience in digital marketing, content strategy, SEO, social media analytics, tourism marketing, or AI-assisted marketing is highly preferred. The candidate should be comfortable working with tools such as ChatGPT, Google Analytics, Search Console, social media insights, keyword research tools, dashboard tools, and AI content or research platforms. Personal Attributes The candidate should be highly organized, data-driven, creative, proactive, and able to work without close supervision. They must be able to turn research and performance data into clear recommendations and practical content ideas. Summary This is a hands-on role for one person who can manage the complete AI marketing workflow, including research, strategy, reporting, optimization, AI search discoverability, and weekly recommendations for content production.
BNI contact details extraction
I am looking for a freelancer to build a spreadsheet database of BNI members worldwide. The task is to visit the official BNI member directory/website and collect available contact details for members whose profession/speciality matches any of the following categories: Ticketing Tours/Tour Guide Travel Agent Visa Consultant Travel (Other) This is for all countries where BNI member listings are publicly available. The final deliverable should be a clean spreadsheet with the information organized logically, including fields such as: Country City/Region Chapter name Member name Company name Profession/Speciality Phone number, if available Email, if available Website, if available Profile URL/source link Any notes Requirements: Accuracy is very important. Only collect publicly available information. Provide source links for verification. The spreadsheet should be clean, deduplicated, and easy to filter. Please mention your estimated timeline, cost, and how many records you expect to collect.
I need an expert on scrapping with appollo.io
Hi i need an expert to help us to scrap some datas with appollo.io My need is to scrap and extract some contacts in france based on Human ressources function
API connect for event website
Create script for event API service website
Scalping contacts from O License records
I need transport and fleet manager personal emails from the internet, focussing on O License data base. O License database process the name and company , from here you can use companies house records and company websites to obtain email domains, names, contact numbers, addresses, social media contacts, and personal email addresses to build an excel sheet. Our target is fleet owners with 3 or more LCV’s or commercial vehicles within London and the southeast. Please send a sample of 5 lines in the excel sheet in you response
Everyday Text Photography Project - US (English Language)
Experience Level: Entry Estimated Project Duration: 1–2 weeks We are inviting freelancers based in US to participate in a localized photography project focused on capturing everyday text from real-world environments. The goal is to collect diverse images of printed or written text found in daily life — such as storefronts, flyers, receipts, menus, product labels, and public notices. All photos must follow simple photography and categorization guidelines that will be shared after selection. This is a flexible, remote photography task, open to multiple freelancers across US Scope of Work: - Capture clear photos of everyday items with visible text (e.g., menus, receipts, storefronts, signs, flyers, etc.) - Take 3 photos per object — Center, Left Angle, and Right Angle - Ensure good lighting and image variety (avoid duplicates) - At least 75% of the text must be in English, and up to 25% can be in English - Organize your photos by category as per the provided instructions - Follow the naming and documentation guidelines shared after selection Requirements: - Must be based in US - Native or fluent in English - Smartphone or camera with good photo quality - Ability to follow simple documentation guidelines - Reliable internet connection for file submission Deliverables: - Minimum of XX image sets (each set = 3 photos of one object) - All images must be clear, readable, and correctly categorized - Upload completed batches to the shared workspace as instructed Compensation: - Payment is based on the number of approved image sets - Only valid, non-duplicate, and high-quality images will be accepted - Payment will be released within 15–20 days after final approval
Data scraping for influencers (automation)
Hello I’m looking for data for a specific set of influencers Specifically for influencers with 75K+ followers on Instagram or 50k subs on YouTube With an audience over 40 The influencer will be speaking on topics like financial planning, many wellbeing categories. Pls tell me how you would do this and how much you’ll charge for the data Also can we verify the engagement rate? Say per 1,000 emails and verify the emails? A Python script using the YouTube Data API v3 (free, official) and Phantombuster (Instagram) to automatically search, filter, and export influencer data to a Google Sheet or CSV. YouTube (API — Free & Clean) Use: YouTube Data API v3 Script logic: 1. Loop through keyword list 2. Search type=channel for each keyword 3. Pull channel details: name, URL, subscriber count, description, email (regex parse from description) 4. Filter: subscribers between 50,000 and 500,000 5. Export all results to CSV Keywords to loop: retirement planning lifestyle retirement vlog over 60 grandparenting tips grandma empty nest life over 50 pickleball over 50 senior fitness over 60 menopause health women over 50 midlife women wellness caregiver aging parents RV retirement full time gardening over 50 vegetable men's health over 50 medicare senior health Christian women over 50 faith retirement lifestyle active aging senior Output columns: Channel Name | URL | Subscribers | Email | Description snippet | Keyword searched Instagram (Phantombuster) Use: Phantombuster Instagram Hashtag Scraper + Profile Scraper (client will provide API key and session cookie) Script/phantom logic: 1. Run Instagram Hashtag Post Scraper on each hashtag below 2. Pull 500 posts per hashtag → extract unique profile URLs 3. Feed profile URLs into Instagram Profile Scraper 4. Extract: username, follower count, bio text, email from bio, website URL 5. Filter: followers 50,000–500,000 6. Export to CSV Hashtags to scrape: #retirementplanning #retirementlife #retireearly #grandparents #grandmalife #nanalife #grandpalife #emptynesters #lifeafterkids #over50life #pickleballlife #activeaging #seniorfitness #womenover50 #menopause #midlifewomen #caregiverlife #agingparents #seniorcare #rvlife #fulltimerv #retirementtravel #vegetablegarden #gardeningover50 #growyourown #menshealth #healthyaging #over50fitness #medicare #seniorliving #agingwell #christianwomen #faithoverfear #christianliving Output Format Single CSV, one row per creator: Platform | Handle/Channel | URL | Followers | Email | Bio/Description | Category | Source Keyword Filtering Rules (build into script) ∙ Followers: 50,000–500,000 only ∙ Skip accounts with 0 posts or last post over 60 days ∙ Skip accounts where bio contains: “under 18”, “teen”, “student”, “college” ∙ Flag rows with no email (for Apollo enrichment pass) ∙ Deduplicate on URL before export Deliverable
AI receptionist and connected to Google Sheets
AI Phone System – One Page Summary Objective Reduce call volume, automate routine enquiries, improve response times, and ensure no missed customer enquiries. We are a company that offers activity training and experience vouchers. System Overview Customer calls → AI Receptionist → AI identifies call type → Transfers to staff OR handles automatically (voucher, weather, staff availability) → Logs enquiry → Notifies team. Call Handling Learning enquiries: all phones Existing customers: reception + operations Training queries: reception + training + operations + management Accounts: operations Voucher calls: AI handles Flight status: AI checks dashboard Required Software Vonage – phone system (existing) Synthflow – AI receptionist Twilio – SMS messaging Make.com – automation Google Sheets – operations dashboard Google Forms – booking form Operations Dashboard Flights Today | Staff Status | Instructor Status | AI Controls | Enquiries Log Automation Features Voucher booking automation Flight status responses (GO / DELAY / CANCEL / CHECK LATER) Staff availability responses Missed call capture Implementation Steps 1. Create dashboard 2. Set up AI system 3. Add SMS integration 4. Create booking form 5. Connect automation 6. Test system 7. Forward main number to AI 8. Install reception dashboard
Scraping of Website database information
Require a straightforward web-scraping project to extract publicly available database records from a website. Gather complete contact details including names, email addresses, phone numbers and physical addresses. Deliver clean, deduplicated structured data (CSV or JSON) with clear field mapping. Ensure respectful, lawful scraping practices, include brief documentation of methods, sample code and any dependencies. Bid with estimated timeline and fixed price.
Land use land cover map and morphological parameters map, India
Land use land cover map from 2006 to 2024 in ArcGIS. Also prepare morphological parameters map (20 numbers) for a region in India. Morphological parameters like slope, height above nearest drainage, drainage density, TWI, soil, distance to river, distancwe to road, CN grid, etc. For land use land cover map for 20 years, 2006 to 2024. Fees is 120 US dollar, Time 10 days.
UK Business DATA Supplier -
I am looking for a business data supplier. Data will be independant businesses - owners name, business name, address, email, whatsapp , post code price per 1000, 10000 & 100000 + turn around time. If you can scrape any other information for direct marketing, please let us know, including LinkedIn & plastic card companies Regards Proactiv
Need help analyse a data set and create results in dashboard
We are seeking an adept data analyst to meticulously evaluate a dataset in Excel and craft a dynamic dashboard that vividly presents key performance indicators (KPIs) using Power BI. The dashboard should be designed to seamlessly incorporate additional data while ensuring optimal functionality. The project is expected to take approximately three hours for a qualified expert. A collaborative session via Zoom or a similar platform will be essential to discuss project specifics and expectations. Proficiency in Excel and dashboard creation is imperative for this endeavor.
Need to analyse data in excel and create dashboard
We seek a proficient data analyst to evaluate data in Excel and develop a dynamic dashboard that effectively showcases key performance indicators (KPIs). The dashboard must be designed for easy integration of additional data while maintaining functionality. The anticipated completion time for this project is approximately three hours for a skilled professional. A collaborative session via Zoom or a similar platform will be required to discuss project specifics and expectations. Expertise in Excel and dashboard creation is essential.
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I need to obtain LinkedIn profiles from company data
I am looking for someone to provide me the LinkedIn profile URL's for a list of data I can supply either daily or weekly, developed as a logic-driven engine rather than a basic scraper. The system would match first name, last name, and registered location, then apply probability modelling using year of birth, likely education timeline, role alignment, and career consistency. Instead of returning raw results, the engine would score potential matches based on confidence percentage, providing ranked outputs suitable for campaign targeting.
UK Part-time Recruitment | WiFi Field Data Collector
UK Part-time Recruitment | WiFi Field Data Collector, Earn Extra Money Easily! Core Highlights • Transparent Salary: 3gbp per asset, more work more gain, no hidden deductions • Flexible Time: No office hours required, take orders and arrange your time freely in spare moments • Ultra-low Threshold: No professional experience needed, easy to master for beginners, with bilingual (Chinese & English) operation manual • UK-wide Coverage: No specific city restrictions, available anywhere in the UK Must-Meet Requirements (All Required) 1. Location Requirement: Must be located in the UK and able to complete on-site data collection tasks locally 2. Device Requirement: • Android smartphone (Android 6.0 or above; Android 9.0 is not recommended as it tends to freeze) • Minimum Memory Requirement: 8+8G (RAM + Storage Memory) • iOS devices are not supported temporarily, please do not apply Key Responsibilities 1. Use the designated APP (WiFi Field Collection APP V1.2) to complete WiFi signal collection at designated locations in accordance with operational standards 2. Complete basic APP operations: take photos, confirm location, submit data (a detailed bilingual operation manual is provided) 3. Maintain stable mobile network and normal positioning during collection to ensure data accuracy Part-time Perks • Salary Guarantee: Transparent and traceable settlement process, no reduction of rights and interests • Easy to Get Started: Step-by-step manual guidance, no skill threshold, accessible to everyone • High Flexibility: No geographical restrictions across the UK, adjust collection locations and time at any time • Standardized Process: Fully transparent task allocation, operational standards and data review Notes 1. Maintain a stable mobile network throughout the work to ensure the APP runs normally and data is synchronized 2. Authorize the APP to access location permissions to assist in accurately locating collection points 3. A complete bilingual (Chinese & English) operation manual will be provided after onboarding, covering the entire process from login to submission Application Method Please send the following information to the designated application channel: [Your Full Name + UK City of Residence + Mobile Phone Model & Android System Version] Review Timeframe: Qualification verification will be completed within 24 hours (focusing on verifying the must-meet requirements) Follow-up Communication: After passing the review, we will inform you of task details, operational standards and salary settlement rules as soon as possible We sincerely invite friends in the UK who meet the device requirements to join us and earn extra money easily in your spare time!
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Build Make Automation to Source and Shortlist Candidates
Project Title Build Make Automation to Source and Shortlist Candidates for Recruitment Agency Project Overview I run a UK recruitment agency and require a compliant automated candidate sourcing and shortlisting system built using Make (formerly Integromat). The automation must run daily and work across all live job roles listed on our careers page. The objective is to surface high quality, relevant candidates without hours of manual searching. This is not a scraping project. Any solution that bypasses platform restrictions or login walls will not be accepted. Objectives Reduce manual candidate sourcing time Automatically find potential candidates from public sources Feed sourced candidates into an existing CV scanner and scoring system Produce a daily shortlist per job role Core Requirements Built entirely using Make Runs daily on a schedule Automatically pulls all live job roles from our website Loops through each job role individually Generates role specific search queries Uses search APIs only, for example Google Custom Search API or SerpAPI Explicitly excludes LinkedIn, Indeed, Reed, CV Library, or any login protected platforms Extracts public profile text or CV links Pushes candidate data into an existing CV analysis and scoring pipeline Automatically shortlists, reviews, or rejects candidates based on defined rules Role Based Configuration The system must allow configuration without code changes for each job role: Mandatory keywords Desirable keywords Location terms or regions Excluded keywords Score threshold for shortlisting Maximum candidates per role per day Output and Storage Store candidates in Google Sheets, Airtable, or an existing database Required fields: Role ID Candidate name, where available Source URL Extracted text Score Missing mandatory requirements Status, New, Shortlisted, Reviewed, Rejected Date sourced Send one daily email summary showing top candidates per role Compliance Requirements No scraping of LinkedIn, Indeed, or job boards No browser automation or login bypassing Public data only Respect robots.txt where applicable Nice to Have Modular Make scenarios, not one long chain Clear documentation explaining how to add or remove roles Logging and error handling Duplicate prevention logic Deliverables Fully working Make automation Role configuration sheet Storage setup Daily shortlist email Basic documentation Application Requirements When applying, please include: Examples of Make automations you have built Confirmation you understand and will comply with the sourcing restrictions Estimated timeline and fixed price Any clarification questions after reading this brief https://www.h2orecruitmentservices.co.uk/careers