Remote Software Engineer

Turing • Washington, DC

18h • 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 involves curating code examples, providing solutions, and correcting code across Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. The evaluator will assess and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to improve enterprise AI-driven coding solutions.

The role also includes building agents to verify code quality and identify error patterns, evaluating model capabilities across stages of the software engineering cycle, and designing mechanisms to automatically verify solutions to software engineering tasks. This is a flexible contractor engagement of 10–40 hours per week, with partial overlap with Pacific Time required. The initial duration is one month, starting next week, with possible extensions based on performance and fit. Candidates must be based in the US, Canada, or specified 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.
• Must be based in the US, Canada, or the UK, Netherlands, Italy, or Germany.
• Availability for a flexible commitment of 10–40 hours per week, with partial Pacific Time overlap.

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 for efficiency, scalability, and reliability.
• 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 and evaluate model capabilities across software engineering stages, including prototyping, architecture design, API design, production implementation, launch, experiments, 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