We are looking for experienced Web Research Task Authors to support an AI evaluation project focused on improving the research and reasoning capabilities of AI systems.

The role involves creating high-quality research tasks that test how effectively AI models can find, verify, and reason through information from reliable public sources.

What You’ll Do

Create original research questions based on real-world topics
Conduct detailed web research using multiple reliable sources
Identify and validate supporting evidence with direct citations
Design tasks that require logical reasoning and source verification
Document research paths, supporting clues, and possible alternative answers
Review and refine tasks based on quality feedback

Research Areas

Candidates with expertise in areas such as the following are preferred:

History
Science & Technology
Sports
Music
Politics
Geography
Film & Television

Experience with OSINT, archives, catalogues, or research databases is an advantage.

Requirements

3+ years of professional experience with a Master's degree
Strong background in research-based work such as:
- Journalism
- Fact-checking
- Library/archival research
- Genealogy
- Due diligence
- Academic research
- Citation-focused editing
Advanced web research skills and ability to evaluate sources
Strong written English communication skills
Ability to distinguish reliable sources and extract accurate information
Comfortable using search engines and AI tools while verifying information independently

Web Research Task Author - AI Evaluation Project

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