Remote Web Research Specialist

Turing•Boston, MA
•Remote

About The Position

Turing is building an evaluation benchmark for frontier AI browsing agents. The Web Research Specialist will design investigative research problems that state-of-the-art AI systems cannot solve, even with full web access and multiple attempts. This is an investigative research role, not a subject matter expert or content-writing role. The specialist will begin with a verifiable fact and work backward to construct a difficult-to-locate question, then demonstrate the result through a complete, auditable evidence trail. Deliverables include a natural-language research question with a short, stable, objectively verifiable answer; independently checkable clues spanning multiple fact types and specific constraints; and a validation record documenting obvious searches and their results. The assignment requires 40 hours per week, including at least four hours of PST overlap. It is an eight-week contractor assignment with no medical or paid leave. Applicants complete an assessment, which the team evaluates; selected candidates will be contacted about next steps.

Requirements

  • Demonstrated open-web research ability, including locating primary records and navigating government and institutional databases, archives, registries, and PDF documents.
  • Precision with sourcing, including citations to exact pages, tables, and sections rather than 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.
  • Commitment of 40 hours per week with at least four hours of PST overlap.

Nice To Haves

  • Experience with LLM evaluation, red-teaming, or benchmark construction.
  • Experience in reference librarianship, archival research, or special collections.
  • Experience in investigative journalism or professional fact-checking.
  • Experience in OSINT, due diligence, KYC, or investigative research.
  • Experience in patent, prior-art, or legal-discovery search.
  • Experience in genealogy and records research.
  • Experience in competitive quizzing or puzzle-hunt construction.
  • Familiarity with JSON and structured data delivery formats.

Responsibilities

  • Design research problems that frontier AI browsing agents cannot solve, even with full web access and multiple attempts.
  • Start from a verifiable fact and work backward to construct a question that is difficult to locate.
  • Create independently checkable clues spanning multiple fact types, including dates, people, places, organisations, works, events, records, and quantities, with specific constraints.
  • Provide a complete, auditable evidence trail with exact citations to pages, tables, and sections.
  • Document obvious searches performed and the results they returned in a validation record.
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