Senior Software Engineer - 35501

Turing; San Francisco (CA); Remote; USD 68,880 - 206,640; Part time

Job summary

A leading AI company is seeking a software engineer to review and evaluate model-generated code. This contract role requires several years of software engineering experience, particularly as a full-stack engineer at notable tech firms. You will assess code quality and provide feedback, working 10–20 hours a week with flexible hours. Competitive compensation of $50–$150 per hour based on experience. Apply if you are ready to shape the future of AI-assisted development tools.

Qualifications

• Several years of experience as a software engineer.
• Minimum 2 years of experience as a full-stack engineer at a leading tech company.
• Strong understanding of software design and debugging.

Responsibilities

• Review and compare 3–4 model-generated code responses.
• Assess code changes for correctness and quality.
• Provide explanations for ranking decisions.

Skills

Software design

Debugging

Engineering best practices

Code review processes

Version control systems

Written communication

Education

Degree from a top-ranked university

Job description

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Project Overview

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.