About this 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

- 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:

1. Reference librarianship, archival research, or special collections
2. Investigative journalism or qualified fact-checking
3. OSINT, due diligence, KYC, or investigative research

4. Patent, prior-art, or legal-discovery search
5. Genealogy and records research
6. Competitive quizzing or puzzle-hunt construction

Nice to Have

- Familiarity with JSON and structured data delivery formats

📌 Research Analyst (India)
🏢 Sourcebae
📍 India