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Web Research Specialist

Turing

We are building an evaluation benchmark for frontier AI browsing agents.

Work arrangement & location
Remote

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  • Science Research
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  • AI training & evaluation
Hours
40 hours per week

Employer description and requirements

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

About the Role

We are building an evaluation benchmark for frontier AI browsing agents. Your job is to design research problems that a state-of-the-art AI cannot solve, even with full web access and multiple attempts. This is not a subject matter expert role, nor is it a content-writing role. It is investigative research.

You will start from a verifiable fact, work backwards to construct a question that makes that fact extremely hard to locate, and then prove your work with a complete, auditable evidence trail.

What You Will Produce

  • A natural-language research question with a short, stable, objectively verifiable answer
  • Clues, each independently checkable, spanning multiple fact types - including dates, people, places, organisations, works, events, records, and quantities - with specific constraints
  • A validation record showing the obvious searches you ran and the results they returned

Minimum Qualifications

  • Master's OR >3 YOE.
  • Demonstrated open-web research ability, including locating primary records and navigating government and institutional databases, archives, registries, and PDF documents
  • Precision with sourcing. You cite exact pages, tables, and sections—not just homepages
  • Comfort researching unfamiliar subjects from scratch
  • Native or near-native written English
  • High tolerance for structured documentation. The evidence trail is the majority of the work
  • Experience with LLM evaluation, red-teaming, or benchmark construction
  • Experience in one or more of the following domains:
  1. Reference librarianship, archival research, or special collections
  2. Investigative journalism or professional fact-checking
  3. OSINT, due diligence, KYC, or investigative research
  4. Patent, prior-art, or legal-discovery search
  5. Genealogy and records research
  6. Competitive quizzing or puzzle-hunt construction

Nice to Have

  • Familiarity with JSON and structured data delivery formats

Project Snapshot

  • Current task mix provides estimated earning potential of approximately $30 per approved task.
  • 8 week project
  • Ideally upto 40 hours/week
  • Fully remote | Paid in USD
  • Start **as soon as you successfully pass the assessment

What’s Next? Submit your application and complete the required assessment. Candidates who successfully pass the assessment** will be eligible to proceed with onboarding.