Computational Physics - Applied Physics - 180 USD/Task - Remote

Master's or PhD in Physics. Strong 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.

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 Physics. Strong 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
• Location : Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam

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