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Job Description & How to Apply Below
PhD (completed) in Maths domain
Role Overview :
In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and English comprehension skills. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down complex mathematical concepts into simple, clear explanations and work efficiently.
The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
What does day-to-day look like:
Design and solve challenging math problems to probe the limitations of large language models. Develop high-quality, step-by-step solutions with clear and rigorous reasoning. Collaborate with LLM researchers to align problem types with evaluation goals, particularly in areas where models commonly struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation). Contribute to defining new evaluation benchmarks based on Mathematics curricula spanning early undergraduate to PhD-level topics.
Requirements:
Analytical
Skills:
Good research and analytical skills
Feedback
Skills:
Ability to provide constructive feedback and detailed annotations. Creative Thinking:
Creative and lateral thinking abilities.
Communication:
Excellent structured communication and collaboration skills in a remote setting.
Independence:
Self-motivated and able to work independently in a remote setting. Technical Setup:
Desktop/Laptop set up with a good internet connection.
Preferred Qualifications:
Candidates completed Ph.D./Postdoctoral degree in Mathematics , Applied Mathematics, Statistics, or a related field are eligible and encouraged to apply. Ability to analyze and solve complex math problems with a structured and logical approach. Ability to explain math concepts clearly using simple language, visuals, and examples.
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