- ಅನುಭವ
- ಯಾವುದೇ
- ಸಂಬಳ
- USD 450 – USD 450 / day
- ತೆರೆಯುವಿಕೆಗಳು
- 1
- ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
- 3 ಗಂಟೆಗಳು ಹಿಂದೆ
- Work mode
- ಮನೆಯಿಂದ ಕೆಲಸ ಮಾಡಿ
- ವಿದ್ಯಾಭ್ಯಾಸ
- Master's degree
- Eligibility
- Candidates with a master’s degree, PhD, or those currently pursuing a PhD in Mathematics, Applied Mathematics, Statistics, or a related field may apply.
- Resume
- Required to apply
ಕೆಲಸದ ವಿವರ
Role Overview
This is a short-term remote contract for a mathematics specialist to support model evaluation and reasoning research. The work is based in India, runs for 11 weeks, and requires an immediate start. The role calls for an 8-hour workday, with 4 hours overlapping Pacific Standard Time. Compensation is $450 per task, paid after approval.
What You’ll Do
- Develop and solve advanced mathematics questions used to assess large language models.
- Write complete, easy-to-follow solutions with clear intermediate reasoning.
- Work with LLM researchers on benchmark creation and reasoning-focused tasks.
- Contribute to the design of new evaluation sets covering mathematics from undergraduate through PhD level.
- Tackle difficult math problems using structured logic and careful analysis.
- Present mathematical ideas in plain language, supported by examples and visuals where helpful.
Requirements
- A master’s degree, PhD, or ongoing PhD study in Mathematics, Applied Mathematics, Statistics, or a closely related discipline is preferred.
- Hands-on proficiency in at least three tools from the following list: Magma, Macaulay2, Singular, GAP, SageMath, Polymake, 4ti2, LattE, DIPHA, PHAT, AUTO-07P, XPPAUT, Perseus, Stan, PyMC, OR-Tools, Z3, PARI/GP, and fpLLL.
- Strong research capability and analytical thinking.
- Ability to think creatively and approach problems from multiple angles.
- Clear communication skills and the ability to collaborate effectively in a remote setting.
Application Steps
- Complete the initial application and watch for an email containing the application form.
- Submit the Google form as instructed.
- Shortlisted applicants will go through resume screening, a take-home assessment, and a delivery review.
- Successful candidates will then receive pre-onboarding instructions.