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24-MAG

This opportunity is available through a leading AI-driven work platform.

Open Source Applied Engineer

Machine Learning EngineerMachine Learning EngineerOtherRemote

Location

United States

Posted

94 days ago

Salary

0

No structured requirement data.

Job Description

Open Source Applied Engineer

24-MAG

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting a leading AI research lab working on improving how advanced AI systems understand real-world software engineering workflows and open-source development practices. - Design and oversee evaluations for coding tasks across multiple programming languages including Python, Java, C, JavaScript, and TypeScript - Develop test cases to assess system behavior across diverse engineering scenarios - Analyze system performance on real-world software engineering workflows and use cases - Identify strengths, weaknesses, and improvement opportunities in AI-generated engineering outputs - Provide structured feedback to support the development and optimization of advanced AI systems - Collaborate with research teams to refine evaluation methodologies and technical benchmarks Qualifications - A strong GitHub or open-source presence with consistent, high-quality contributions to major repositories - Expertise in one or more languages such as Python, Java, C, JavaScript, or TypeScript - Deep familiarity with widely-used libraries, frameworks, and tooling ecosystems in their language of expertise - Strong understanding of software architecture, performance optimization, and scalable system design - Experience collaborating in distributed and asynchronous engineering teams - Strong analytical thinking and excellent technical communication skills Requirements - Experience working on large-scale open-source frameworks or infrastructure projects (Nice to Have) - Familiarity with CI/CD pipelines, Git workflows, and open-source governance practices (Nice to Have) - Experience contributing to widely adopted developer tools or libraries (Nice to Have) Benefits - Contribute professional expertise to frontier AI research projects - Help improve how AI systems understand real-world software engineering and open-source development workflows - Apply open-source engineering expertise to improve next-generation AI systems - Flexible remote project work with competitive compensation Contract Details - Independent contractor role - Fully remote and flexible scheduling - Part-time engagement - Compensation: $100–$140 per hour - Weekly payments via Stripe or Wise - Projects may extend or adjust depending on scope and performance About the Platform This opportunity is available through a leading AI-driven work platform partnering with top AI labs and enterprises to train frontier models using human expertise.

Job Requirements

  • A strong GitHub or open-source presence with consistent, high-quality contributions to major repositories
  • Expertise in one or more languages such as Python, Java, C, JavaScript, or TypeScript
  • Deep familiarity with widely-used libraries, frameworks, and tooling ecosystems in their language of expertise
  • Strong understanding of software architecture, performance optimization, and scalable system design
  • Experience collaborating in distributed and asynchronous engineering teams
  • Strong analytical thinking and excellent technical communication skills
  • Experience working on large-scale open-source frameworks or infrastructure projects (Nice to Have)
  • Familiarity with CI/CD pipelines, Git workflows, and open-source governance practices (Nice to Have)
  • Experience contributing to widely adopted developer tools or libraries (Nice to Have)

Benefits

  • Contribute professional expertise to frontier AI research projects
  • Help improve how AI systems understand real-world software engineering and open-source development workflows
  • Apply open-source engineering expertise to improve next-generation AI systems
  • Flexible remote project work with competitive compensation
  • Contract Details
  • Independent contractor role
  • Fully remote and flexible scheduling
  • Part-time engagement
  • Compensation: $100–$140 per hour
  • Weekly payments via Stripe or Wise
  • Projects may extend or adjust depending on scope and performance
  • About the Platform
  • This opportunity is available through a leading AI-driven work platform partnering with top AI labs and enterprises to train frontier models using human expertise.

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