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2 days ago
We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions.
These tasks are designed to identify model weaknesses and optimize training and evaluation workflows. To achieve this goal, you should have a strong understanding of advanced math concepts and be able to apply them effectively in a remote research environment.
Key Responsibilities:- Fine-tune and evaluate large language models for math-related tasks
- Analyze and address model weaknesses in math problem-solving capabilities
- 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
To succeed in this role, you should have the following qualifications and skills:
- Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field
- Strong ability to solve advanced math problems with clear and structured reasoning
- Ability to work independently in a remote research environment and participate actively in team discussions
- Access to a reliable computer and internet setup to participate in remote assignments
This is a task-based assessment followed by a contract offer with defined timelines and workload. You will gain valuable experience working 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 and gain exposure to cutting-edge model evaluation strategies in an academic-industry hybrid setting.
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