Remote Remote Web Researcher

TuringSan Francisco, CA
Remote

About The Position

Turing is seeking a Remote Web Researcher to design research problems that advanced AI cannot solve, even with full web access. This role involves investigative research, starting from a verifiable fact and constructing a question that makes the fact difficult to locate. The researcher will provide a natural-language research question with a verifiable answer, clues spanning multiple fact types with specific constraints, and a validation record of searches performed. This is not a subject matter expert or content-writing role, but rather an investigative research position focused on creating challenging AI evaluation benchmarks.

Requirements

  • Demonstrated open-web research ability, including locating primary records and navigating government and institutional databases, archives, registries, and PDF documents.
  • Precision with sourcing, citing exact pages, tables, and sections.
  • Comfort researching unfamiliar subjects from scratch.
  • Native or near-native written English.
  • High tolerance for structured documentation, as 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: 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 search; Genealogy and records research; Competitive quizzing or puzzle-hunt construction.

Nice To Haves

  • Familiarity with JSON and structured data delivery formats.

Responsibilities

  • Design research problems that state-of-the-art AI cannot solve, even with full web access and multiple attempts.
  • Start from a verifiable fact and work backwards to construct a question that makes that fact extremely hard to locate.
  • Provide a complete, auditable evidence trail for each research problem.
  • Produce a natural-language research question with a short, stable, objectively verifiable answer.
  • Generate clues, each independently checkable, spanning multiple fact types (dates, people, places, organizations, works, events, records, quantities) with specific constraints.
  • Create a validation record showing the obvious searches performed and the results returned.
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