Research Experts for Frontier AIML Open Questions
San Francisco, CA - USA
Job Summary
Mercor is working with a leading intelligence AI lab to identify the most important open questions in core AI/ML fields and to build structured knowledge bases that could meaningfully accelerate progress over the next decade. Were looking for exceptional PhD students and PostDocs with a clear point of view on what problems truly matter in their field and the depth to define how those problems could be tackled.
Eligibility Requirement
You will need to fill a short form in order to be eligible for this role: You will see this in addition to the AI interview in your application process. Below is guidance for what you will need to have in order to fill the form:
Consider the biggest open questions in your field for example the 1015 questions where a breakthrough would make headline news. From this set select those closest to your area of expertise: questions within or adjacent to your specialty or those where you could mentor an expert toward meaningful progress.
Specifically we are looking for questions where:
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A major breakthrough would be widely recognized as transformative (e.g. headline news in Nature Science or top field-specific venues)
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Meaningful progress is plausible within the next decade (not purely speculative or dependent on unknown technology)
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The question is concrete enough that progress can be evaluated (avoid umbrella questions like How does the ML work)
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You have the relevant expertise to assemble a comprehensive knowledge base directly relevant to the question
What Youll Do
1. Identify high-impact open questions
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Propose major open questions where a breakthrough would be transformative
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Focus on problems that are concrete tractable and close to your expertise
2. Build a knowledge base for selected questions
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Seminal papers key datasets methods recent advances and hidden gems
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Assume an extremely strong expert all knowledge up until 6 months ago (1st October 2025)
Time commitment: 816 hours per selected question
Who Were Looking For
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PhD candidates or PostDocs from top-tier institutions
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Deep expertise in AI/ML/Engineering
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Strong judgment about significance tractability and research quality
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Ability to synthesize large bodies of literature into clear learning paths
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Openings: 50 experts per domain
Expected Outputs
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Clearly articulated high-impact open research questions
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Structured reading lists (30100 sources per question)
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Brief expert commentary on why each source and approach matters