Remote Software Developer ($200/hr)

Turing • Austin, TX

3d • Remote

About The Position

Turing is hiring a remote Software Developer to evaluate software engineering capabilities and help create datasets for training, benchmarking, and advancing large language models. Working closely with researchers, the developer will curate code examples, provide solutions, and correct code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. The role also involves evaluating and refining AI-generated code for efficiency, scalability, and reliability, and collaborating with cross-functional teams to improve enterprise-level AI coding solutions.

The engagement is flexible, with a minimum of 10 hours per week and a maximum of 40 hours per week, and requires partial overlap with Pacific Time. It is a one-month contractor engagement starting next week, with potential extensions based on performance and fit. Candidates must be based in the US, Canada, or the specified Western European countries: UK, Netherlands, Italy, or Germany. Applicants will complete an AI video interview as part of the assessment process.

Requirements

• At least 3 years of software engineering experience.
• 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 and review assessment.
• Excellent oral and written communication skills for clear, structured evaluation rationales.
• Must be based in the US, Canada, the UK, the Netherlands, Italy, or Germany.
• Must be able to provide partial overlap with Pacific Time.

Responsibilities

• Curate code examples, build solutions, and correct code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go for AI model training initiatives.
• Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable.
• Collaborate with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
• Build agents that verify code quality and identify error patterns.
• Hypothesize about software engineering lifecycle steps and evaluate model capabilities across prototyping, architecture design, API design, production implementation, launch, experimentation, monitoring, and operational maintenance.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed