Python( LLM Evaluation & Repository Validation_15 To 20 USD per hour)

Opportunity Details

Role: Senior Software Engineer Python (LLM Evaluation & Repository Validation)
Work Mode: Fully Remote
Employment Type: Freelance / Contractor
Commitment: 40 hours per week
Overlap: 4 hours/day with PST
Rate:

• 2–4 years: $15/hr
• 4+ years: $20/hr

If you’re interested in exploring this opportunity, please share your updated resume along with the following details:

• Overall Experience:
• Relevant Experience:
• Notice Period:
• Current CTC:
• Current Location:

Quick Screening Questions

1. How many years of hands-on experience do you have with Python?
2. Do you have hands-on experience with Git and Docker, and have you worked with large/complex GitHub repositories?
   If yes, please briefly mention the relevant project/repository.
3. Are you comfortable with a 40-hour/week freelance commitment, including 4 hours of daily PST overlap, at $15/hr (2–4 years) or $20/hr (4+ years)?
   Yes / No

Once we receive your updated resume and details, we’ll upload your profile to the client portal and initiate the process.

Please note that applications are reviewed on a first-come, first-served basis, so we recommend sharing your resume at the earliest to help ensure your profile is considered promptly.

Once your profile has been uploaded, please keep an eye on your email. You will receive further communication directly regarding the next steps, including the application process and assessment.

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 world’s 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)

We look forward to hearing from you and receiving your updated resume. Upon receiving your details, we’ll promptly proceed with the next steps and keep you informed throughout the process.

Thank you for your time and interest in this opportunity.