Remote Software Developer ($200/hr)

Turing•Boston, MA
•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 in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go. The evaluator will assess and improve AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams on enterprise-level 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 contractor engagement requiring at least 10 hours per week and up to 40 hours per week, with partial PST overlap. The initial duration is one month, starting next week, with potential extensions based on performance and fit. Candidates must be based in the US, Canada, or specified Western European countries (UK, Netherlands, Italy, or Germany). The assessment process includes an AI video interview.

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, or one of the listed countries: UK, Netherlands, Italy, or Germany.
  • Available for a flexible engagement of 10–40 hours per week with partial PST overlap.

Responsibilities

  • Curate code examples, develop solutions, and correct code for AI model training initiatives.
  • Evaluate and refine AI-generated code to ensure 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.
  • Evaluate model capabilities across software engineering activities, including prototyping, architecture design, API design, production implementation, launch, experimentation, monitoring, and operational maintenance.
  • Design mechanisms that automatically verify solutions to software engineering tasks.
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