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Software Engineer - Biology (Remote)

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Not disclosed
Full Time (Remote)
Associate
1 position
Bangladesh

Job Description

  • Role: Software Engineer - Biology (Remote)
  • Location: Remote (Work from Anywhere)
  • Job Type: Full-Time
  • Payout: Competitive, based on experience


Role Overview:

We are hiring for one of our clients, seeking a Scientific Coding - Biology and Python to work on a full-time basis. Turing is building one of the most rigorous STEM AI training datasets in the industry in partnership with NVIDIA. 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 directly contribute to AI research by authoring, implementing, and reviewing complex scientific problems across core STEM disciplines.


Key Responsibilities:

• Write scientific problem specifications that include one main problem and at least three logically connected sub‑problems.

• 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, 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 such as GPT, Gemini, and Nemotron.


Required Skills & Qualifications:

• Hold a master’s degree or PhD in biology and demonstrate strong expertise in the field.

• Possess solid Python programming skills and experience with scientific computing libraries such as NumPy, SciPy, or SymPy.

• Ability to write rigorous, well‑posed scientific problems with clear constraints, expected outputs, and deterministic behavior.

• Prior experience in AI data annotation, research, or scientific writing, with familiarity of LLM evaluation frameworks or coding benchmarks.

• Strong attention to detail to ensure tasks meet strict rubrics for well‑posedness, test‑case discriminativeness, scientific correctness, and determinism.


More About the Opportunity:

This role offers the chance to work with a global leader in the software development and research services sectors, contributing to the creation of data that powers next‑generation AI models. The engagement is a contractor assignment lasting eight weeks, requiring a 40‑hour work week with a four‑hour overlap in PST.


Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.


Apply Now!

Requirements

• Hold a master’s degree or PhD in biology and demonstrate strong expertise in the field. • Possess solid Python programming skills and experience with scientific computing libraries such as NumPy, SciPy, or SymPy. • Ability to write rigorous, well‑posed scientific problems with clear constraints, expected outputs, and deterministic behavior. • Prior experience in AI data annotation, research, or scientific writing, with familiarity of LLM evaluation frameworks or coding benchmarks. • Strong attention to detail to ensure tasks meet strict rubrics for well‑posedness, test‑case discriminativeness, scientific correctness, and determinism.

About Company

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This job post was sourced from LinkedIn Jobs While we strive to bring you the latest opportunities, Niyog has not verified this listing and cannot take responsibility for its accuracy or any outcomes related to it. Please review the details carefully and apply at your own discretion.

Job Information

Posted 1 month ago
Job ID 4465030856
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Menlo Park, California

29
Active Jobs

About Company

HireFeed: A QuikHire product. Earn in dollars. On your hours. From wherever. HireFeed is the AI-curated feed of contract, gig, and AI training jobs that pay in USD, built for the people who actually want to work, not the ones writing job descriptions...
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