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    Job · 15403398

    REMOTEFULLTIME

    Python( LLM Evaluation & Repository Validation)

    Prointegrate World It Consulting logo

    Prointegrate World It Consulting

    Remote · remote · Posted 48d ago

    Sourced fromNaukri
    ₹50.0K - ₹1.5L PA2–4 yrsfulltimeRemote

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Skills req

    Python ,Git and Docker

    Vetting

    Online Coding. In case the talent is not receiving the link, you can share this one:

    Work remotely with Turing to advance AI

    Note: Ensure talent is using the same email that was submitted on agency portal

    About the Role:

    We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 5000+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

    Why Join Us?

    Turing is one of the worlds fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

    What does day-to-day look like:

    • Analyze and triage GitHub issues across trending open-source libraries.
    • Set up and configure code repositories, including Dockerization and environment setup.
    • Evaluating unit test coverage and quality.
    • Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
    • Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
    • Opportunities to lead a team of junior engineers to collaborate on projects.

    Required Skills:

    • Strong experience with Python,
    • Proficiency with Git, Docker, and basic software pipeline setup.
    • Ability to understand and navigate complex codebases.
    • Comfortable running, modifying, and testing real-world projects locally.
    • Experience contributing to or evaluating open-source projects is a plus.

    Nice to Have:

    • Previous participation in LLM research or evaluation projects.
    • Experience building or testing developer tools or automation agents.

    Perks of Freelancing With Turing:

    • Work in a fully remote environment.
    • Opportunity to work on cutting-edge AI projects with leading LLM companies.

    Offer details:

    • Commitment required: 40 hours per week with 4 hrs/day overlap with PST
    • Employment type: Contractor assignment (no medical/paid leave)

    Sourced from naukri

    Section · 02

    Skills

    DockerPythonGIT

    Python( LLM Evaluation & Repository Validation) · waiting for your command