Remote Web Research Specialist

Turing•Seattle, WA

1d•Remote

About The Position

Turing is seeking a Web Research Specialist to design research problems for frontier AI browsing agents. The goal is to create questions that even advanced AI cannot solve, despite having full web access and multiple attempts. This role focuses on investigative research, not subject matter expertise or content writing. The specialist will start with a verifiable fact, construct a question that makes the fact difficult to find, and provide a complete, auditable evidence trail. The output will include a natural-language research question with a verifiable answer, independently checkable clues across various fact types with specific constraints, and a validation record of search attempts and results.

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.
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.