Our is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI.
Our cleint helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

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
Familiarity with JSON and structured data delivery formats
Project Snapshot
• Current task mix provides estimated earning potential of approximately $30 per approved task.
• 8 week project
• Ideally upto 40 hours/week
• Fully remote | Paid in USD
• Start as soon as you successfully pass the assessment

What’s Next?
Submit your application and complete the required assessment. Candidates who successfully pass the assessment will be eligible to proceed with onboarding.