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AI training & evaluation

GitHub Contributor

micro1

In this role, you'll apply your expertise to help train next-generation AI systems.

Work arrangement & location
Remote
Compensation
Per accepted task

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  • software-engineering
  • AI training & evaluation

Employer description and requirements

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.

Application screening questions

Are you able to commit 10–15 hours+ per week to this role?

What is your expected hourly rate in USD?

If moving forward, would you be able to review and sign the contract within 24 hours, and begin tasking within 24-48 hours of receiving your credentials?

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. Is this acceptable to you?

Core Languages: In which of the following programming languages can you write, debug, and optimize complex code? You can select more than one.

Share your GitHub or GitLab profile URL and 1–2 repos you're proud of. For each repo, write 1–2 sentences on what problem it solves.

If you replied above, skip this question. No GitHub/GitLab? Share any other proof of work, a live project, deployed app, open-source PR, npm/PyPI package, or technical post. If everything is in private repos, briefly describe the project, your specific contribution, and the tech stack in 2–3 sentences.

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Other published fields (read alongside the description):

Published hourly-rate fields: {'max': 100, 'min': 50}

Source page's structured applicant-location list: Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia