AI Infra JavaScript Engineer — Contract (US‑Based)

turing

California (MO)

Hybrid

CAD 114,000 - 190,000

Full time

7 days ago
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Job summary

Turing, a leading AI research accelerator, seeks a Software Engineering evaluator to curate datasets for training and benchmarking large language models. You will provide precise solutions across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), with emphasis on systems-level code and performance-critical infrastructure.

This contract-based role involves evaluating AI-generated code for correctness, efficiency, and reliability, and collaborating with researchers to improve

Qualifications

  • 3+ years of software engineering experience.
  • Strong expertise in systems programming, infrastructure, or backend development.
  • Experience building and deploying production-grade software.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills.

Responsibilities

  • Curate code examples and build solutions across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS).
  • Evaluate and refine AI-generated code with emphasis on systems-level correctness, performance, and reliability.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents that verify quality of systems-level and infrastructure code and identify error patterns.
  • Hypothesize steps in the software engineering cycle and evaluate model capabilities accordingly.
  • Design verification mechanisms to automatically verify solutions to software tasks.

Skills

Systems programming
Backend development
JS/Python/C/C++/Rust/Go
Code quality
Communication

Job description

Turing, a leading AI research accelerator, seeks a Software Engineering evaluator to curate datasets for training and benchmarking large language models. You will provide precise solutions across Python, C/C++, Rust, Go, Java, and JavaScript (ReactJS), with emphasis on systems-level code and performance-critical infrastructure.

This contract-based role involves evaluating AI-generated code for correctness, efficiency, and reliability, and collaborating with researchers to improve

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