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Full Stack JavaScript Engineer · Turing Turing · TBD · remote · ago TBD ago

Remote / Online - Candidates ideally in
Stockton, San Joaquin County, California, 95201, USA
Listing for: Benture
Full Time, Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Full Stack JavaScript Engineer · Turing Turing · TBD · remote · 3w ago TBD 3w ago

Full Stack JavaScript Engineer | Remote | Turing

Turing is seeking a skilled Full Stack Developer to build modern web applications and contribute to cutting-edge AI model training workflows. This role blends traditional software engineering with AI research support - ideal for developers who are comfortable across the entire stack and excited about the future of AI.

About Turing

Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing helps customers accelerate frontier research and transform AI from proof of concept into proprietary, production-ready intelligence.

What You'll Do

  • Build and maintain full-stack web applications, from UI to database.
  • Develop responsive, accessible front-ends and robust back-end services.
  • Design and manage relational databases using SQLite and PostgreSQL.
  • Create high-quality AI training tasks and evaluate task quality across benchmarks.
  • Support reinforcement learning (RL) and AI model training workflows, including data preparation and experiment iteration.
  • Leverage AI coding tools to ship faster while maintaining clean, reliable code and data.

What We're Looking For

  • Solid experience with React, HTML, CSS, and Java Script .
  • Back-end development experience with Node.js
    .
  • Hands-on experience with SQLite and PostgreSQL
    .
  • Familiarity with RL training and AI model training workflows
    .
  • Experience creating and assessing task quality across AI benchmarks.
  • Proficiency with AI coding tools such as Codex, Cursor, and Claude
    , with strong prompting skills.
  • Ability to work independently and deliver complete features and datasets from requirements.

Nice to Have

  • Familiarity with Python and common ML libraries.
  • Experience designing evaluations or working with model benchmarking pipelines.
  • Experience with testing, CI/CD, and Git
    .
  • A strong eye for clean, well-structured, and maintainable code.
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