GitHub Contributor
micro1
WorldwideremotePosted 1 month ago
Skill Required
Open-Source-ContributorOpen-Source-DeveloperCommunity-ContributorOpen-Source-Software-DeveloperOpen-Source-EngineerDeveloperGitsoftware engineeringData StructuresEngineeringTypeScriptdebuggingPythonGolangC++JavaRustandGoAIFulltime
Key highlights
- Role Type: Contractor (~15 hrs a week)
- Location: Remote
- Minimum submission requirements: experts must submit a minimum of tasks per week
- Compensation is output-based; paid per task that meets project specifications
- Start within 24–48 hours of completing onboarding
- Clear open source contributions and profiles on GitHub or GitLab required
Role overview
micro1 is engaging expert Senior Software Engineers as remote contractors (~15 hrs/week) to support a customer's innovative project by helping train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. As an expert, you will create Reinforcement Learning Environments that test an AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code, and optimizing performance — including building reproducible environments and golden reference solutions.
Responsibilities
- Create Reinforcement Learning Environments that test an AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code, and optimizing performance
- Create a reproducible environment and golden reference solution for the problem
- Contribute expert-level code samples, debugging strategies, and development insights in Python3, Java, Rust, Go, C++, or TypeScript
- Analyze, troubleshoot, and resolve complex software defects and performance bottlenecks in diverse codebases
- Implement robust new features, ensuring scalability, maintainability, and adherence to software best practices
- Refactor and optimize legacy code to improve clarity, efficiency, and long-term reliability
- Document technical reasoning, solution approaches, and code decisions to enhance AI training data quality
- Review and validate peer-contributed code and technical submissions for accuracy and clarity
Requirements
- Clear open source contributions and profiles to showcase on GitHub or GitLab
- Significant hands-on expertise in at least one of the following: Python3, Java, Rust, Go, C++, or TypeScript
- Deep understanding of algorithms, data structures, and software engineering principles
- Proven ability to debug complex systems, resolve bugs, and deliver effective optimizations
- Experience with large codebase refactoring and legacy system modernization
- Track record of delivering high-impact features from conception through delivery within cross-functional projects
- Strong documentation and communication skills to articulate technical concepts clearly
Nice to have
- Preferably with C++, Python, JAVA, GoLang, Typescript, or Rust
- Interest in or curiosity about AI and its technical challenges (previous AI experience not required)
- No prior experience in AI is required — domain knowledge is what matters
Additional details
- Role Type: Contractor (~15 hrs a week)
- Location: Remote
- Compensation is output-based; experts are paid per task that meets the project specifications
- The time required to complete work may vary depending on the expert's experience and workflow
- Minimum submission requirements apply; experts must submit a minimum of [unspecified] tasks per week
- Process: Apply to the role filling out screening questions → Complete AI interview (~30 minutes) → Technical Assessment (Tentative) → Hiring Manager review
- We typically fill roles within 48 hours and are looking for experts ready to jump in right away
- If selected, expected to start first tasks within 24–48 hours of completing onboarding
- Originally posted on Himalayas