Web Research Specialist
Required Skills: LLM, User Research
Work Arrangement: Fully Remote
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Strategy, positioning, and expert restructuring for high-stakes applications.
⚡ Limited weekly review slots • Structured • Results-focused
Who is this for?
Applicants applying for competitive funding, study visas, academic programs, research grants, or professional proposals needing expert-level positioning.
Project Duration: 8 Weeks
Estimated Earnings: Approximately $30 per approved task
Hours: Ideally up to 40 hours/week
This Is Investigative Research — Not Content Writing
This opportunity is designed for people who can investigate difficult questions, locate obscure information across the open web, verify claims against reliable primary sources and document exactly how they reached an answer.
About Turing
Turing works with leading AI labs and organizations to advance AI capabilities and develop real-world AI systems. This project focuses on evaluating how well frontier AI browsing agents can conduct difficult web-based investigations.
About the Role
Turing is building an evaluation benchmark for frontier AI browsing agents. As a Web Research Specialist, you will design research problems that are difficult for advanced AI systems to solve, even when those systems have full web access and multiple attempts.
The work is not primarily about writing articles or demonstrating expertise in one particular academic subject. Instead, it focuses on investigative research, source discovery, verification and evidence construction.
You will begin with a verifiable fact, work backwards to construct a challenging research question and then demonstrate the answer through a complete, auditable evidence trail.
What You Will Produce
- A natural-language research question with a short, stable and objectively verifiable answer.
- Multiple independently checkable clues covering different fact types.
- Evidence involving dates, people, places, organizations, works, events, records and quantities.
- Specific constraints that make the research problem challenging.
- A validation record documenting the searches performed and the results obtained.
The Evidence Trail Matters
Candidates must be able to show exactly how an answer was established. Strong sourcing means identifying the relevant page, table, section, record or document rather than simply linking to an organization’s homepage.
Minimum Qualifications
- Master’s degree OR more than 3 years of relevant experience.
- Demonstrated open-web research ability.
- Ability to locate primary records and navigate government and institutional databases.
- Experience working with archives, registries and PDF documents.
- Strong precision with citations and source verification.
- Ability to research unfamiliar subjects from scratch.
- Native or near-native written English.
- High tolerance for structured documentation and evidence trails.
- Experience with LLM evaluation, red-teaming or benchmark construction.
Relevant Research Backgrounds
Experience in one or more of these areas is relevant:
- Reference librarianship, archival research or special collections.
- Investigative journalism or professional fact-checking.
- OSINT, due diligence, KYC or investigative research.
- Patent, prior-art or legal-discovery research.
- Genealogy and records research.
- Competitive quizzing or puzzle-hunt construction.
Nice to Have
- Familiarity with JSON.
- Experience delivering structured data.
Project Snapshot
Estimated earning potential: Approximately $30 per approved task
Duration: 8 weeks
Schedule: Ideally up to 40 hours per week
Location: Fully remote
Payment: USD
Start: As soon as the candidate successfully passes the assessment
Free Expert CV / Resume Sample
JORDAN ADEYEMI
Web Research Specialist | Investigative Research | LLM Evaluation
Lagos, Nigeria | +234 XXX XXX XXXX | jordan@email.com
LinkedIn: linkedin.com/in/jordanadeyemi
Portfolio: researchportfolio.example
PROFESSIONAL SUMMARY
Investigative Web Research Specialist with 5+ years of experience conducting open-web research, source verification, fact-checking and structured information gathering across unfamiliar subjects. Skilled at locating primary documents, government records, institutional databases, archived materials and PDF sources, then building auditable evidence trails that allow findings to be independently verified. Experienced in LLM evaluation, research-quality assessment and structured documentation, with strong written English and attention to detail.
CORE SKILLS
Research: Open-Web Research, Investigative Research, Fact-Checking,
Source Verification, Primary-Source Research, Archival Research
AI: LLM Evaluation, AI Response Evaluation, Prompt Testing,
AI Red-Teaming, Benchmark Research, Research-Agent Evaluation
Information Sources: Government Databases, Institutional Records,
Archives, Registries, Academic Sources, PDF Documents, Public Records
Evidence: Citation Verification, Evidence Trails, Search Validation,
Cross-Referencing, Fact Verification, Source Reliability Assessment
Technical: Google Search Operators, Boolean Search, Google Sheets,
Excel, JSON, Structured Data, Digital Archives
PROFESSIONAL EXPERIENCE
Investigative Research Specialist — Research & Intelligence Firm
2021 – Present
- Conduct open-web investigations across unfamiliar subjects using structured search strategies and multiple independent sources.
- Locate primary records from government websites, institutional databases, public registries, archives and official publications.
- Trace claims back to the original source instead of relying on secondary summaries or search-result snippets.
- Review lengthy PDF documents and identify exact pages, tables, sections and records supporting specific claims.
- Cross-check dates, names, organizations, locations, events and numerical information across independent sources.
- Maintain structured evidence logs documenting search queries, sources, findings and verification status.
- Produce concise research answers supported by complete evidence trails.
AI Research & Evaluation Analyst — AI Research Project
2019 – 2021
- Evaluated AI-generated answers for factual accuracy, source quality, reasoning quality and evidence completeness.
- Designed difficult research prompts intended to expose weaknesses in AI-assisted information retrieval.
- Compared AI responses against authoritative primary sources.
- Documented incorrect assumptions, unsupported claims and missing evidence.
- Created structured evaluation records for research tasks.
Research & Fact-Checking Assistant — Media Organization
2017 – 2019
- Conducted background research and fact verification for editorial projects.
- Verified names, dates, organizations, locations and historical information against reliable sources.
- Located original documents and archived sources to resolve conflicting claims.
- Maintained research notes and source records for editorial review.
SELECTED PROJECT
Frontier AI Research Benchmark
- Designed multi-clue research questions requiring information to be assembled from several independent web sources.
- Started with objectively verifiable facts and worked backwards to construct difficult research paths.
- Created validation records showing search queries, results and source selection.
- Documented exact evidence locations including page numbers, tables and sections.
RESEARCH METHODOLOGY
Discover → Verify → Cross-check → Document → Validate
I prioritize primary sources whenever available, distinguish verified facts from assumptions, record unsuccessful search paths and preserve enough evidence for another researcher to independently reproduce the finding.
EDUCATION
M.Sc. Information Science / Research Methods
University Name — 2020
B.Sc. Mass Communication / Information Management
University Name — 2017
ADDITIONAL TRAINING
- LLM Evaluation & Generative AI
- OSINT & Digital Investigation
- Advanced Web Search Techniques
- Fact-Checking & Source Verification
- Structured Data & JSON
PORTFOLIO
Include 2–4 research examples demonstrating difficult web investigations, primary-source discovery, fact-checking, source validation or AI evaluation.
How to Make Your CV Stronger for This Role
Do not position yourself simply as a “Web Researcher.” The vacancy specifically emphasizes investigative research and auditable evidence.
Your CV should demonstrate that you can find information that is difficult to locate, identify authoritative sources, verify the answer and document the entire research process.
Strong phrases include: primary-source research, government databases, archival research, source verification, evidence trails, LLM evaluation, AI red-teaming, benchmark construction and structured documentation.
Step-by-Step Application Guide
1. Check the Qualification Requirement
The role requires either a Master’s degree or more than three years of relevant experience. Make sure your CV makes the applicable qualification immediately clear.
2. Tailor Your CV to Investigative Research
Highlight specific examples where you found difficult information, verified claims, located primary records or worked through large collections of documents.
3. Demonstrate Your Evidence Process
If you have a research portfolio, show how you document search queries, source selection, exact evidence locations and validation results.
4. Highlight LLM Experience
Include legitimate experience involving LLM evaluation, prompt testing, AI red-teaming, benchmark creation or evaluating AI-generated research.
5. Prepare for the Assessment
The assessment is important because successful completion is required before onboarding. Be prepared to demonstrate your ability to investigate a difficult question and provide a precise, reproducible evidence trail.
6. Apply
Important
The CV above is a professional sample. Replace the names, qualifications, employment history, dates, projects and skills with your genuine information. Do not claim LLM evaluation, OSINT, archival research or other experience that you have not actually performed.
Also note that the stated earning potential is approximately $30 per approved task, not a guaranteed salary or guaranteed amount of work.