Remote Senior Software Engineer (LLM) - 34953

Turing

Bengaluru

Remote

INR 4,829,447 - 12,073,619

Part time

14 days+

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Job summary

A leading AI company is seeking a Remote Senior Software Engineer to evaluate and curate training datasets for Large Language Models (LLMs). This role involves collaboration with AI researchers and assessing model performance on real-world coding tasks. Candidates should possess significant software engineering experience, coding best practices knowledge, and strong communication skills.

Qualifications

At least 3 years experience at leading product or research companies.
Strong fundamentals in software design and debugging.
Exceptional ability to articulate evaluation rationale.

Responsibilities

Review and compare model-generated code responses for correctness.
Evaluate code diffs for quality and efficiency.
Collaborate on identifying ambiguities in model behavior.

Skills

Software design

Coding best practices

Debugging

Code quality assessment

Written communication

Proficient with code review

Job description

Remote Senior Software Engineer (LLM) - 34953

2 days ago Be among the first 25 applicants

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.

Project Overview:

We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process.

Why This Role Is Unique:

Collaborate directly with AI researchers shaping the future of AI-powered software development.
Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks.
Influence dataset design that will train and benchmark next-gen LLMs.

What does day-to-day look like:

Review and compare 3–4 model-generated code responses for each task using a structured ranking system.
Evaluate code diffs for correctness, code quality, style, and efficiency.
Provide clear, detailed rationales explaining the reasoning behind each ranking decision.
Maintain high consistency and objectivity across evaluations.
Collaborate with the team to identify edge cases and ambiguities in model behavior.

Required Skills:

At least 3 years of experience at top-tier product or research companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify, Intuit, PayPal, or research roles at IBM, GE, Honeywell, Schneider, etc.), with a total of 7+ years of overall professional software engineering experience.
Strong fundamentals in software design, coding best practices, and debugging.
Excellent ability to assess code quality, correctness, and maintainability.
Proficient with code review processes and reading diffs in real-world repositories.
Exceptional written communication skills to articulate evaluation rationale clearly.
Prior experience with LLM-generated code or evaluation work is a plus.

Bonus Points:

Experience in LLM research, developer agents, or AI evaluation projects.
Background in building or scaling developer tools or automation systems.
Commitment: ~20 hours/week (partial PST overlap required)
Type: Contractor (no medical/paid leave)
Duration: 1 month (starting next week; potential extensions based on performance and fit)
Rates: $40–$100/hour, based on experience and skill level.

Seniority level