Open Source Contributor
micro1
At a glance
Open Source Contributor is a remote other opening at micro1. The posting places it in Global, fully remote. The post date on the listing is 8 Nov 2026. No deadline is filled in on the listing. The notes below are written by Akazi. The advertisement under them is the employer's own text.
- Company
- micro1
- Job type
- Other · Remote
- Location
- Global, fully remote
- Deadline
- Deadline not listed
- Date posted
- 8 Nov 2026
How to apply
- Open Source Contributor is listed here so you can find it. micro1 takes the application. Akazi does not.
- Use Apply. It opens the employer's own site. Finish every step there, including an account if they ask for one.
- No deadline is stored in the listing fields. Read the advert in case the date is only written in the text, and apply while it is still open.
- It is remote (Global, fully remote). Say that you are based in Rwanda, which hours you can overlap with the team, and which languages you work in.
- Shape your CV around this other role and put the experience they ask for near the top. Name Kinyarwanda, English, or French only at the level you can actually work in.
- Do not pay a fee, buy a starter kit, or share a mobile-money PIN. A real application to micro1 will not ask you to pay in order to be hired.
Writing a CV for Rwanda · Preparing for interviews · Remote work from Rwanda
Apply(opens in a new tab)Employer advertisement
The text below is the public posting from micro1. Akazi did not write it.
Pay: $60–$120/hour equivalent, paid per accepted task
Location : Global, fully remote
Job Type : Contractor
Time Commitment: 15+ hours per week Schedule: Flexible
micro1 is looking for exceptional open-source contributors to support an AI-training project focused on complex, real-world technical workflows.
In this role, you will use your programming and domain expertise to create, solve, review, and validate challenging tasks in software engineering, machine learning, science, hardware, or engineering. Your work will help improve how advanced AI systems reason, write code, use technical tools, and complete long-horizon projects.
Prior AI-training experience is not required. We are primarily looking for candidates with strong, publicly verifiable technical work.
What You’ll Work On
Create realistic technical tasks based on professional, scientific, or engineering workflows. Build reproducible task environments, reference solutions, tests, and objective evaluation criteria. Review AI-generated work for correctness, completeness, and technical quality. Diagnose model failures and explain why an approach or result is incorrect.
Required Qualifications
Strong programming ability, including practical proficiency with Python. Meaningful contributions to open-source software or substantial original public projects.
Experience : in at least one relevant area, including:
Software engineering Machine learning or data science Scientific computing Hardware, embedded systems, or electronics Mechanical, aerospace, civil, chemical, or electrical engineering Developer tools, infrastructure, automation, or security
Public Proof of Skill
Applicants should be able to provide publicly verifiable evidence such as: Meaningful merged contributions to established repositories Maintainer or core-contributor responsibilities Substantial original repositories or technical tools Scientific or engineering software contributions Public code supporting published research Contributions involving implementation, debugging, testing, performance, infrastructure, simulation, or data processing Forks, tutorial-only repositories, superficial documentation edits, contribution counts, or AI-generated repositories alone are not sufficient.
Preferred Qualifications
Experience designing technical tests, benchmarks, evaluation tasks, or reproducible environments. Experience reviewing code or technical contributions from others. Competition results, publications, public technical writing, or other evidence of expertise. Previous experience contributing to complex projects over an extended period.
Application Process
Submit your application and public technical profiles. Complete an AI interview that includes technical and integrity checks. Complete a hiring-manager review. If selected, complete project onboarding and begin your first assigned task.
Compensation
Compensation is output-based. Experts are paid for tasks that meet project specifications and quality requirements. The time required for each task will vary based on its complexity and the expert’s workflow.
View the original posting(opens in a new tab)
Similar openings
Other live roles at micro1, or in the same kind of work, if Akazi has them.