Quantitative Research Consultant (Short-term)
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Key skills for this role
About the Role
Prolific is seeking a Quantitative Research Consultant for a short-term project to design and solve hard reasoning problems for frontier AI models. Candidates need a PhD in a quantitative STEM field and deep expertise.
Key Skills for This Role
Responsibilities
- Read a recent research paper in your field and craft an original, exam style reasoning question based on it
- Work through the problem yourself, narrating your reasoning as you go
- Screen record your approach so we can capture the full solution trajectory
- Provide brief notes on the problem's difficulty, with opportunity for follow up discussion
Requirements
- PhD or equivalent in a quantitative STEM field (computer science, statistics, mathematics, physics, mechanical engineering, AI/ML, or related)
- Deep quantitative expertise and ability to reason through complex technical problems
- Up to date knowledge of current research in your area
- Comfort narrating your thinking out loud
- Experience with AI systems, model evaluation, or machine learning (bonus)
Full Job Posting
Role
- Quantitative Research Consultant (Short term)
Duration & Rate
- Duration: A few hours (with potential for follow on work)
- Rate: Competitive, commensurate with experience
Location
- Remote
About the Project
- We are building a benchmark to evaluate how well frontier AI models handle hard, original reasoning problems in quantitative fields.
- The benchmark draws on recent research (papers from late 2024 onward) and is designed to surface problems that today's strongest models cannot reliably solve.
What you’ll bring
- PhD or equivalent in a quantitative STEM field (computer science, statistics, mathematics, physics, mechanical engineering, AI/ML, or related); postdoctoral or faculty level preferred
- Deep quantitative expertise and the ability to reason through complex, technical problems
- Up to date knowledge of current research in your area
- Comfort narrating your thinking out loud
- Bonus: experience with AI systems, model evaluation, or machine learning
What you’ll be doing
- Read a recent research paper in your field and craft an original, exam style reasoning question based on it
- Work through the problem yourself, narrating your reasoning as you go
- Screen record your approach so we can capture the full solution trajectory
- Provide brief notes on the problem's difficulty, with opportunity for follow up discussion
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