Senior Software Engineer - 35501

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

Job summary

A leading AI company in San Francisco is seeking a Mid-Senior level contractor to improve large language model performance through software engineering expertise. The role involves leading projects, evaluating code quality, and collaborating with the team. Ideal candidates must have several years of experience in software engineering and excellent communication skills. Flexible engagement is required with rates between $50–$150/hour based on experience.

Qualifications

• Several years of software engineering experience, including 2+ years at a top-tier product company.
• Strong expertise in building full-stack applications using modern languages.
• Deep understanding of software architecture and design.
• Proven ability to review code diffs for correctness and maintainability.
• Excellent oral and written communication skills.

Responsibilities

• Work across multiple projects to improve LLM performance on code.
• Lead and deliver end-to-end agent use cases.
• Collaborate with team to identify edge cases and ambiguities.
• Review and compare model-generated code using a ranking system.
• Evaluate code diffs for correctness and provide rationales.

Skills

Software engineering experience

Full-stack application development

Software architecture and design

Code quality assessment

Excellent communication skills

Job description

Overview

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. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance.

What Does a Typical Day Look Like?

• Work across multiple different projects to improve LLM performance on code: sample projects
• Lead and deliver end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants
• Collaborate with the team to identify edge cases and ambiguities in model behavior
• Review and compare 3–4 model-generated code responses per 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

Required Skills

• Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)
• Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment
• Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency
• Excellent oral and written communication skills for clear, structured evaluation rationales
• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/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: $50–$150/hour, based on experience and skill level

Job Details

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Information Technology and Engineering
• Industries: Software Development

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