Investigative Researcher for AI Benchmarking

Web Research Specialist 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: 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 Have Experience with LLM evaluation, red-teaming, or benchmark construction Familiarity with JSON and structured data delivery formats Application Process Complete the assessment shared with you. Our team will evaluate your submission. Selected candidates will be contacted regarding the next steps

Project ID: 40685933