Open Source Contributor (GitHub)
micro1Legit · not rated yetPosted on 16 Sep 2026
Pay: $100–150/hr
- Who can apply
- Countries not stated in the listing
- Hours
- 15 hrs/week · Freelance
- Where
- Remote, work from home
- Job type
- Response evaluation
- Openings
- 100 openings
At a glance: A freelance, remote response evaluation job with micro1. It pays $100–150/hr for 15 hours a week. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
We may earn a referral fee if you are hired. How we make money
What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 92% of the 205 other software engineering jobs on the board that state pay; 8% pay more.
- This job
- $125/hrMiddle of $100–150/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in software engineering
- $65/hrFrom 205 other paid jobs
Requirements
- Qualifications
- Python3
- JAVA
- Rust
- Basics C++
- Typescript
- GoLang
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Pay: $100–$150/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if needed
We are looking for highly skilled Open-Source Software Engineers to contribute to an AI training project involving software development, repository exploration, debugging, system architecture, and code evaluation.
The work involves creating, solving, reviewing, and validating challenging software-engineering tasks across front-end and back-end systems and helping with translating full coding builds from one particular language into another.
We are particularly interested in engineers who own or maintain open-source repositories or have made meaningful contributions to established projects. Contributions should demonstrate real engineering ability, not only documentation updates, dependency bumps, formatting changes, or minor typo corrections.
Candidates should be prepared to discuss specific repositories, pull requests, issues, and code they personally authored.
What You’ll Work On
• Explore and understand unfamiliar software repositories.
• Implement, modify, and debug front-end and back-end components.
• Trace data and execution across interfaces, services, libraries, APIs, databases, and external dependencies.
• Reproduce software issues and identify their underlying causes.
• Implement solutions that fit an existing project’s architecture and contribution standards.
• Write unit, integration, regression, and end-to-end tests.
• Review AI-generated patches for correctness, completeness, security, and maintainability.
Required Qualifications
• A public or otherwise verifiable GitHub profile.
• Meaningful ownership of or contributions to one or more open-source repositories.
• Strong software-engineering experience across front-end, back-end, full-stack, systems, developer tooling, infrastructure, or another substantial technical area.
• Experience with multiple programming languages.
• Ability to understand and modify unfamiliar codebases.
Relevant languages may include TypeScript, JavaScript, Python, Java, Go, Rust, C++, C#, Ruby, PHP, or other languages used in substantial open-source projects.
Process
• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.
Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply. Experts must submit a minimum number of tasks per week.
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- Last checked
- Source
- micro1
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