Web Research Specialist - US only

Parailabs; United States; Hybrid; USD 68.000 - 97.000; Vollzeit

Benefits dieser Stelle

Fully remote

Paid in USD

8-week project

Zusammenfassung

Turing is building an evaluation benchmark for frontier AI browsing agents. You will design research problems that are extremely hard to answer even with full web access, and prove your work with a complete, auditable evidence trail.

The role emphasizes meticulous sourcing and provenance, involving primary records, government databases, and PDFs. This is remote, with compensation in USD and a flexible, evidence-driven workflow.

Qualifikationen

• Master's degree or >3 years of relevant experience
• Strong open-web research ability locating primary records
• Precise sourcing citing exact pages, tables, and sections
• Comfort researching unfamiliar subjects from scratch
• Native or near-native written English
• Tolerant of structured documentation and auditable trails
• Experience with LLM evaluation, red-teaming, or benchmark construction
• Experience in one or more of these domains: reference librarianship, investigative journalism, OSINT, patent/legal discovery, genealogy, competitive quizzing

Aufgaben

• Design research problems that are hard to locate with full web access
• Construct clues spanning dates, people, places, organisations, works, events, records, quantities
• Provide a complete, auditable evidence trail with validation of searches and results

Kenntnisse

Master's degree or >3 YOE

Open-web research

Precise sourcing

English proficiency

Structured documentation

LLM evaluation

Domain experience

Ausbildung

Master's degree

Tools

JSON

Jobbeschreibung

About Turing:

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing 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:

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

• Familiarity with JSON and structured data delivery formats

Project Snapshot

• Current task mix provides estimated earning potential of approximately $60 per approved task
• 8 week project
• Ideally upto 40 hours/week
• Fully remote | Paid in USD
• Talent must be in from United States
• Start as soon as you successfully pass the assessment