Scientific Coding - Physics and Python
Veröffentlicht am 2. September 2026 · Bewerbung bis 15. November 2026
Einige Länder: Lateinamerika, Naher Osten und Nordafrika, Subsahara-Afrika, Südasien, Südostasien
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Ich erhalte von der Plattform eine Provision, wenn ein von mir empfohlener Kandidat eingestellt wird. Für Sie ändert sich nichts.
This remote role involves authoring, implementing, and reviewing complex scientific coding tasks in Python to train and evaluate frontier AI models. Candidates must hold a Master's or PhD in Physics and possess strong Python programming skills with experience in scientific computing.
Beschreibung auf Englisch, wie von Turing veröffentlicht.
Role Overview:
Turing is building one of the most rigorous STEM AI training datasets in the industry. The SciCode project involves creating high-quality scientific coding tasks that are used to train and evaluate frontier AI models. As a SciCode Trainer, you will be directly contributing to cutting-edge AI research by authoring, implementing, and reviewing complex scientific problems across core STEM disciplines.
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
Erforderliche Fähigkeiten
- PhD Physics
- Grad Physics
Einige Länder: Lateinamerika, Naher Osten und Nordafrika, Subsahara-Afrika, Südasien, Südostasien
Über Turing
Turing stellt Remote-Experten für KI- und Engineering-Projekte ein, von Software bis Medizin. Die Originalanzeige steht auf deren Website.
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