AI Training

GitHub Contributor

Pay: $50–$100/hr
Location: Remote
Employment type: Contractor (~15 hrs a week)
Hours: ~15 hrs a week hrs/week
Openings: 100
Start: We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Posted: 2026-09-07

About this opportunity

Role Title: GitHub Contributor Role Type: Contractor (~15 hrs a week) Location: Remote micro1 is engaging expert Senior Software Engineers to support a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As an expert you will be creating Reinforcement Learning Environments which test and AI model's ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem. Applicants must have clear open source contributions and profiles to showcase it like GitHub or GitLab. (Preferably with C++, Python, JAVA, GoLang, Typescript, or Rust) Scope of Work - 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. Preferred Qualifications - 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. - Interest in or curiosity about AI and its technical challenges (previous AI experience not required). Process: - Apply to the role, filling out the screening questions - Complete AI interview (aprox. 30 minutes) - Technical Assessment (Tentative) - Hiring Manager review Compensation Structure 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 tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Required skills

Python3
JAVA
Rust
Algorithms
Basics C++
Typescript
bug fixing
feature implementation
codebase refactoring
performance optimization

What you'll do

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.

Preferred qualifications

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.
Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

Application process

Apply to the role, filling out the screening questions Complete AI interview (aprox. 30 minutes) Technical Assessment (Tentative) Hiring Manager review

Compensation

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 tasks per week.

CodingMicro1

TypeScript + Rust Developer

Job Title: TypeScript + Rust Developer Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: - Collaborate with cross-functional teams to deliver robust solutions in TypeScript and Rust. - Design, implement, and refactor complex systems, with a focus on codebase migrations or rewrites between language ecosystems. - Create and curate high-quality human data for AI training and evaluation tasks. - Follow best practices for software engineering, including code reviews, testing, and documentation. - Communicate technical concepts clearly via written and verbal communication to both technical and non-technical stakeholders. - Troubleshoot, debug, and optimize codebases in both TypeScript and Rust environments. - Maintain 6+ hours of daily work overlap with the Eastern Time zone to ensure effective collaboration. Required Skills and Qualifications: - 5+ years of professional software development experience, with a proven track record of production-level work. - Idiomatic fluency in TypeScript and Rust, demonstrated through hands-on experience. - Strong background in codebase migrations, rewrites, or working within multiple language environments. - Excellent written and verbal communication skills, with the ability to explain complex technical issues clearly. - Experience producing or working with human-labeled data, ideally for AI or ML applications. - Ability to work independently and as part of a remote, global team. - Fluent English proficiency. Preferred Qualifications: - Previous experience on AI/ML data engineering or data labeling teams. - Contributions to open-source TypeScript or Rust projects. - Background in developing scalable cloud-native applications.

Contractor· Remote

Status: Open

$30–$100/hr

Verified Oct 3, 2026

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