Remote Software Engineer

Turing • Seattle, WA

14h • Remote

About The Position

Turing is hiring a Software Engineering evaluator to create datasets for training, benchmarking, and advancing large language models in collaboration with researchers. The work includes curating code examples, producing precise solutions, correcting code, and evaluating and refining AI-generated code for efficiency, scalability, and reliability. The evaluator will work with cross-functional teams to improve enterprise-level AI-driven coding solutions.

The role also involves building agents to verify code quality and identify error patterns; hypothesizing about and evaluating model capabilities across stages of the software engineering cycle, from prototyping and architecture/API design through production implementation, launch, experiments, monitoring, and operational maintenance; and designing mechanisms that automatically verify solutions to software engineering tasks.

This is a flexible contractor engagement requiring at least 10 hours per week, up to 40 hours per week, with partial PST overlap. The stated duration is one month, starting next week, with possible extensions based on performance and fit. Candidates must be based in the US, Canada, or the listed Western European countries (UK, Netherlands, Italy, or Germany).

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 providing clear, structured evaluation rationales.
• Candidates must be based in the US, Canada, or the UK, Netherlands, Italy, or Germany.

Responsibilities

• Curate code examples, build solutions, and correct code 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.
• Evaluate model capabilities across software engineering stages, including prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, and operational maintenance.
• Design mechanisms that automatically verify solutions to software engineering tasks.

What This Job Offers

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