Remote Software Developer

Turing•Pittsburgh, PA
•Remote

About The Position

Turing is seeking 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 refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to improve enterprise-level AI coding solutions. The role also includes building agents and automated verification mechanisms to assess code quality and identify error patterns, and evaluating model capabilities throughout the software engineering cycle, from prototyping and design through launch, monitoring, and maintenance. This is a contractor engagement for one month, starting next week, with potential extensions based on performance and fit. The flexible commitment is 10–40 hours per week, with partial PST overlap required. Candidates must be based in the US, Canada, or specified Western European countries (UK, Netherlands, Italy, or Germany). The engagement does not include medical benefits or paid leave. Candidates 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, or one of the listed Western European countries: UK, Netherlands, Italy, or Germany.
  • Partial overlap with Pacific Standard Time is required.

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 software engineering cycle steps and evaluate model capabilities across those steps.
  • Design mechanisms that automatically verify solutions to software engineering tasks.
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