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    Job · 15716572

    REMOTEFULLTIME

    Remote Scientific Coding Expert - Chemistry and Python

    Turing logo

    Turing

    Remote · remote · Posted 47d ago

    Sourced fromNaukri
    Undisclosed1–4 yrsfulltimeRemote

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    Section · 01

    About this role

    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  Chemistry. 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 

    Sourced from naukri

    Section · 02

    Skills

    ChemistryPython

    Section · Company

    About Turing

    Turing logo

    Turing

    Analytics & KPO

    501

    employees

    2018

    8 years old

    Palo Alto,California

    United States

    About

    Turing specializes in AI-driven global talent sourcing for tech services, enhancing efficiency in engineering and project execution for businesses.

    Industries

    Analytics & KPOEmerging Technologies

    Employee ratings

    300 reviews

    3.0/ 5

    Culture

    3.1

    Career growth

    2.5

    Work-life

    3.6

    Employees rate it well for

    Work Life Balance49Salary37Senior Management21Work Culture20Working Hours/shift16

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