Responsibilities:

- Write scientific problem specifications consisting of one main problem and a minimum of 3 sub-problems, all logically connected and progressively building toward the main problem solution Implement verified golden solutions in Python with complete unit test coverage

- Design discriminative test cases that clearly differentiate correct from incorrect model outputs Run QC validation checks on the Turing Central Task Platform (CTP) including Tier 1 structure checks and Tier 2 quality rubrics Iterate on tasks based on QC feedback to meet Pass@K evaluation criteria across multiple LLM judges (GPT, Gemini, Nemotron)

- Maintain high output quality with a low rework rate, targeting consistent L1 approval on first submission

- Participate in sync calls for reviews, feedback sessions, and project standups during overlap hours

Required Qualifications:

- Master's or PhD in Mathematics.

Robust

Python programming skills with experience in scientific computing





- Ability to write rigorous, well-posed scientific problems with clear constraints and expected outputs

- Attention to detail - tasks must meet strict rubrics for well-posedness, test case discriminativeness, scientific correctness, and determinism

- Prior experience in AI data annotation, research, or scientific writing Familiarity with LLM evaluation frameworks or coding benchmarks Experience with libraries such as NumPy, SciPy, SymPy, or domain-specific scientific tools . Published research or academic project experience in a STEM domain Quality Standards

Offer Details:

- Commitments Required : Overlap of 4 hours with PST and 40 hrs/week

- Engagement type : Contractor assignment/freelancer (no medical/paid leave)

- Duration of contract : 8 weeks Role & responsibilities

Preferred candidate profile

📌 Scientific Coding -Mathmatics (Bengaluru)
🏢 Prointegrate World It Consulting
📍 Bengaluru