
Solving Advanced Math Problems
24 hours ago
We are seeking skilled researchers to assist in fine-tuning and evaluating large language models (LLMs) for advanced math problems.
This is a remote research-focused initiative, where you may be asked to complete tasks such as:
- Determine the number of real symmetric matrices of rank 2 with entries only 0 or 1.
- Find the number of subsets of a 10-element set with characteristic vectors having Hamming weight exactly 3.
- Count distinct 10-digit numbers where the sum of digits is divisible by 3, and each digit is either 0 or 1.
These tasks aim to identify model weaknesses and improve training and evaluation workflows.
RequirementsTo succeed in this role, you will need:
- A strong academic background in Mathematics, Applied Mathematics, Statistics, or a related field.
- Analytical skills: 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 connection to participate in remote assignments.
Please note that this position is open only to candidates who have completed or are currently pursuing a Ph.D.;
Time Commitment & Contract Details
The commitment required for this role includes at least 4 hours per day and minimum 20 hours per week, with 4 hours of overlap with PST. The contract duration is 1 month, and the engagement type is contractor assignment/freelancer.
About UsWe accelerate the advancement and deployment of powerful AI systems, working with leading AI labs to advance frontier model capabilities. We help customers by leveraging our work to build real-world AI systems that solve mission-critical priorities.
- Work on research that directly impacts the future of language model performance in mathematics and STEM.
- Collaborate with a global network of experts shaping next-generation AI benchmarks.
- Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.
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