OSINT Analyst/ Investigative Researcher

Commitment Required

1. 40 hours per week at least 4 hours PST overlap

2.Master's OR minimum 3 Years of Experience

Experience with one of the domains.

Location: Remote/India

Engagement Length-8 weeks

Contract/Freelancing Project

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, organizations, 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:

1. Reference librarianship, archival research, or special collections
2. Investigative journalism or professional 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

• 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