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Advanced Math Problem Solver
2 weeks ago
We are seeking researchers with strong mathematical and analytical backgrounds to contribute to fine-tuning and evaluating large language models. Your work will help these models improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions.
The research objectives for this position may include tasks like determining the number of real symmetric matrices of rank 2 whose entries are only 0 or 1, finding subsets of a set with specific properties, or counting distinct numbers with certain characteristics.
These tasks are designed to find model weaknesses and improve training and evaluation workflows.
Candidate Profile:
- Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field.
- Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning.
- Communication Skills: Clarity in explaining complex topics and providing feedback with precision.
- Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.
- Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments.
This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered.
Time Commitment & Contract Details:
- Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week)
- Engagement type: Contractor assignment/freelancer (no medical/paid leave)
- Duration of contract: 1 month; [expected start date is next week]
- Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.
About the Role:
- You will have the opportunity to work on research that directly impacts the future of language model performance in mathematics and STEM.
- You will collaborate with a global network of experts shaping next-generation AI benchmarks.
- You will gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.