Remote Web Researcher

Turing • San Francisco, CA

4d • Remote

About The Position

Turing is seeking a Web Researcher to design research problems for AI browsing agents. The goal is to create questions that even state-of-the-art AI cannot solve, despite having full web access and multiple attempts. This role involves investigative research, starting from a verifiable fact and working backward to construct a question that makes the fact difficult to locate. The researcher will need to provide a complete, auditable evidence trail to prove their work. The output will include a natural-language research question with a verifiable answer, clues spanning multiple fact types with specific constraints, and a validation record of searches performed.

Requirements

• Demonstrated open-web research ability, including locating primary records and navigating government and institutional databases, archives, registries, and PDF documents.
• Precision with sourcing; 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, 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 backward to construct a question that makes the fact extremely hard to locate.
• Provide a complete, auditable evidence trail to prove the work.
• Produce a natural-language research question with a short, stable, objectively verifiable answer.
• Create clues, each independently checkable, spanning multiple fact types (dates, people, places, organizations, works, events, records, quantities) with specific constraints.
• Generate a validation record showing the obvious searches performed and their results.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed