Remote Senior Software Engineer (LLM) - 35501

Turing

Bengaluru

Remote

INR 6,036,809 - 18,110,429

Full time

14 days+

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Job summary

A leading AI company is seeking a Remote Senior Software Engineer to review model-generated code and provide evaluations. Applicants must have several years of software engineering experience, particularly in full-stack roles. The position is contract-based, offering flexible hours and competitive compensation. This role plays a crucial part in shaping AI-assisted software development tools.

Qualifications

Several years of experience as a software engineer.
Minimum 2 years of full-stack engineering experience at a leading tech product company.
Strong understanding of software design and debugging.
Ability to analyze and compare real-world code changes.

Responsibilities

Review and compare model-generated code responses using a structured ranking framework.
Assess code changes for correctness, quality, and performance.
Collaborate with the team to improve evaluation processes.

Skills

Software design

Debugging

Engineering best practices

Code review processes

Version control systems

Written communication

Education

Degree from a top-ranked university

Job description

Remote Senior Software Engineer (LLM) - 35501

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We are developing high-quality training and evaluation datasets to improve how Large Language Models (LLMs) perform on real software engineering problems. The core of this project involves identifying and curating verifiable coding tasks from public GitHub repositories, supported by a human-in-the-loop review process.

As a contractor on this project, you will review code written by AI to solve real software tasks. Your feedback will help improve how future AI models learn to write and understand code.

Key Responsibilities

Review and compare 3–4 model-generated code responses for each task using a structured ranking framework
Assess code changes (diffs) for correctness, quality, readability, and performance
Provide clear, concise explanations for your ranking decisions
Maintain consistency and fairness across all evaluations
Identify and document edge cases or unusual model behavior
Collaborate with the team to improve evaluation processes and identify improvement areas

Required Qualifications

Professional Experience

Several years of experience as a software engineer (experience working as a data scientist will not be considered)
Minimum 2 years of experience as a full-stack engineer at a leading tech product company (e.g., Google, Shopify, Microsoft, Snowflake, Meta, PayPal, etc.)

Note: Experience from contractual or part-time roles will not be considered. Only full-time employment qualifies.

Technical Skills

Strong understanding of software design, debugging, and engineering best practices
Familiarity with code review processes and version control systems
Ability to analyze and compare real-world code changes
Excellent written communication skills for clearly explaining technical evaluations

Preferred Qualifications

Degree from a top-ranked university is preferred but not required
Experience working with LLM-generated code or AI evaluation projects
Background in developer tools or systems automation
Exposure to AI research or developer agents
Type: Contract (no medical benefits or paid leave)
Commitment: 10–20 hours/week, with flexible work hours (partial overlap with Pacific Time)
Duration: 1 month (starting next week, with potential for extension)
Compensation: $50–$150/hour, based on experience, geography, and skill level

About Turing:

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.

If you have strong software engineering expertise and are interested in helping shape the next generation of AI-assisted development tools, we encourage you to apply.

Seniority level