Open Source Applied Engineer for AI Research Lab

24-mag • United State
Remote
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AI Summary

Design and oversee evaluations for coding tasks, analyze system performance, and provide structured feedback to improve AI systems. Strong GitHub presence and expertise in multiple programming languages required. Flexible remote project work with competitive compensation.

Key Highlights
Design and oversee evaluations for coding tasks
Analyze system performance on real-world software engineering workflows
Provide structured feedback to improve AI systems
Key Responsibilities
Design and oversee evaluations for coding tasks across multiple programming languages
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
Technical Skills Required
Python Java C JavaScript TypeScript
Benefits & Perks
Flexible remote project work
Competitive compensation ($100-$140 per hour)

Job Description


We are sharing a specialised remote opportunity for Open Source Applied Engineers to support a leading AI research lab working on improving how advanced AI systems understand real-world software engineering workflows and open-source development practices.

This project focuses on leveraging open-source engineering expertise to design technical evaluations, analyze AI-generated outputs, and contribute insights that improve AI reasoning across modern programming languages and real-world development environments.

Key Responsibilities

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

Ideal Profile

Strong candidates may have:

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

Nice to Have:

Experience working on large-scale open-source frameworks or infrastructure projects

Familiarity with CI/CD pipelines, Git workflows, and open-source governance practices

Experience contributing to widely adopted developer tools or libraries

Why This Opportunity

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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