
Remote Maths Researcher
2 weeks ago
We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models. Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions.
Your tasks may include determining the number of real symmetric matrices of rank 2 whose entries are only 0 or 1, finding subsets of a set that have a specific characteristic vector, or counting distinct numbers that meet certain criteria.
These tasks are designed to find model weaknesses and improve training and evaluation workflows.
Key Responsibilities:
- Assist in fine-tuning and evaluating large language models.
- Help LLMs improve their ability to understand and solve complex math problems.
- Contribute to research-focused initiatives by completing tasks related to model evaluation.
To be successful in this role, you should have a strong background in mathematics and analytics, as well as excellent communication and research skills. You should also be able to work independently in a remote research environment and participate actively in team discussions.
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.
BenefitsThis is a unique 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 and gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.
Why Work with Us?
- 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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