JavaScript Developer

Turingβ€’Chicago, IL

About The Position

Turing is hiring a JavaScript Developer to work as a Software Engineering evaluator on AI model training initiatives. The role involves creating datasets for training, benchmarking, and advancing large language models in close collaboration with researchers. Work includes curating code examples, providing solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript, including ReactJS, with emphasis on systems-level code, performance-critical applications, and infrastructure. The evaluator will assess and refine AI-generated code for efficiency, scalability, correctness, and reliability; collaborate with cross-functional teams to improve enterprise AI-driven coding solutions; build agents and automated verification mechanisms for software engineering solutions; and evaluate model capabilities across stages of the software engineering cycle. This is a flexible contractor engagement for candidates based in the United States, requiring at least 10 hours per week and allowing up to 40 hours per week. The initial duration is one month, with potential extensions based on performance and fit. The engagement does not include medical or paid leave.

Requirements

  • At least 3 years of software engineering experience.
  • Strong expertise in systems programming, infrastructure, or backend development using languages such as JavaScript, Python, C/C++, Rust, and Go.
  • Experience building 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 United States.
  • Commitment of at least 10 hours per week; engagement can be up to 40 hours per week.
  • Completion of an AI video interview is required.

Nice To Haves

  • Experience at the frontier of AI, such as at OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or a similar organization.
  • Graduation from a leading program such as Harvard, Columbia, Princeton, Yale, the University of Pennsylvania, or a comparable institution; exceptional experience and skill take precedence over pedigree.

Responsibilities

  • Curate code examples, build solutions, and correct code in Python, C/C++, Rust, Go, Java, and JavaScript, including ReactJS, for AI model training initiatives.
  • Evaluate and refine AI-generated code for systems-level correctness, performance, efficiency, scalability, and reliability.
  • Collaborate with researchers and cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
  • Build agents that verify the quality of systems-level and infrastructure code and identify error patterns.
  • Hypothesize 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.
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