Remote AI Software Engineer - Data & Model Training

turing; San Francisco (CA); Remote; USD 83,000 - 124,000; Part time

Job summary

Turing, based in San Francisco, is hiring a Software Engineering Evaluator to create datasets, curate code examples, and refine AI-generated code across multiple languages. You will work with researchers and cross-functional teams to benchmark and enhance enterprise-level AI coding solutions.

The role is a contractor engagement (minimum 10 hrs/week, up to 40 hrs/week) with a 1-month duration and eligibility for extension based on performance.

Qualifications

• 3+ years of software engineering experience.
• Experience building and deploying full-stack applications.
• Strong understanding of software architecture, design, development, debugging, and code quality.
• Excellent oral and written communication skills for clear, structured evaluation rationales.

Responsibilities

• Curate code examples and provide precise solutions across Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions.
• Build agents to verify code quality and identify error patterns.
• Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms to automatically verify a solution to a software engineering task.

Skills

Full-stack development

Software architecture

Code quality & reviews

Communication skills

Python

JavaScript

C/C++

Java

Rust

Go

Job description

Turing, based in San Francisco, is hiring a Software Engineering Evaluator to create datasets, curate code examples, and refine AI-generated code across multiple languages. You will work with researchers and cross-functional teams to benchmark and enhance enterprise-level AI coding solutions.

The role is a contractor engagement (minimum 10 hrs/week, up to 40 hrs/week) with a 1-month duration and eligibility for extension based on performance.