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Why this grade This listing scored 41/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Role Title: Open Source Contributor
Role Type: Contractor
Location: Remote
micro1 is engaging with open source contributors to participate in a very complex and challenging Software Engineering project.
As an expert you will be creating Reinforcement Learning Environments which test an AI model's ability to solve complex software engineering workflows. These workflows are similar in scope to common DevOps | CI/CD | Debugging workflows using common cli tools such as git, docker, gdb, asan, ffmpeg and many more. Your task will be to create reproducible rl environments that test a model's ability to solve these workflows along with a golden reference solution.
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 production-quality code, reviews, and documentation to open-source repositories relevant to the customer’s project.
- Design, implement, and optimize complex algorithms and system components using one or more of the following languages: C++, Python, JAVA, GoLang, Typescript, or Rust.
- Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases.
- Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices.
- Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding.
- Participate in code discussions and provide constructive feedback to elevate overall code quality.
Preferred Qualifications:
- Previous experience working on large-scale, distributed codebases.
- Familiarity with modern AI or machine learning systems is a plus, though not required.
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 04 Aug 2026 Himalayas first sighting
Seen on 1 board over 25 days.