Mathematics Expert, Python, AI

This is a fully remote position, open to applicants in Bangladesh.

📋 Description

• Create mathematical coding tasks that include a primary problem and at least three related sub-problems that sequentially lead to the main solution.

• Develop verified golden solutions using Python, ensuring complete unit test coverage.

• Craft discriminative test cases that effectively differentiate between correct and incorrect outputs generated by AI.

• Conduct quality control validations via the Central Task Platform (CTP), which involves Tier 1 structure checks and Tier 2 quality rubrics.

• Enhance problem specifications, solutions, and test cases based on quality control feedback.

• Optimize tasks to fulfill Pass@K evaluation criteria across various LLM judges, including GPT, Gemini, and Nemotron.

• Guarantee mathematical accuracy, well-posedness, determinism, and adherence to project quality standards.

• Maintain a high standard of first-submission quality to minimize rework, aiming for consistent L1 approval.

• Engage in review sessions, feedback meetings, and project standups during necessary overlap hours.

⛳️ Requirements

• A Master's degree or PhD in Mathematics.

• Proficient Python programming skills with a background in scientific computing.

• Experience with scientific Python libraries such as NumPy, SciPy, SymPy, or other relevant domain-specific tools.

• Capability to formulate rigorous mathematical problems with clear constraints and expected outcomes.

• Experience in implementing scientific or mathematical solutions accompanied by unit tests and deterministic outputs.

• Previous experience in AI data annotation, scientific research, or scientific writing.

• Familiarity with LLM evaluation frameworks, coding benchmarks, or assessments of AI-generated code.

• Published research or experience in academic projects related to mathematics or another STEM discipline.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work hours and the possibility of remote work.

• Collaborative and inclusive work environment.