Mercor · Software & coding
Open Source Maintainer / Core Contributor – Software Engineer
Listed on Mercor as “Open Source Maintainer / Core Contributor - Software Engineer”
How this rate compares
This listing
$150 per hour
Typical in Software & coding
$70–$120 per hour
Above the typical range
Typical: the middle of the lowest and highest rates posted by 38 listings in this category on Seoulstart, in US dollars.
What this actually is
You review AI-generated code, rank model outputs against each other, write prompts that test edge cases, and provide expert feedback that gets used to train coding models. Not shipping production software. The platform title (Open Source Maintainer / Core Contributor - Software Engineer) reflects the rate band and the expertise required, not the day-to-day work.
How Mercor picks people
- Upload your CV and answer the role's written questions.
- Do a video interview with Mercor's AI interviewer. Most take about 20 minutes, in English unless the role says otherwise.
- Some roles add a skills test. A test you pass once counts for similar roles.
- The project team reviews your results and sends offers to the people it picks.
Before you start
- Take Mercor's free practice interview first. It does not count toward any application.
- Use Chrome on a computer with a camera and microphone, in a quiet room.
- You can retake an official interview up to 3 times, but hiring teams see how many times you retook it.
Not every applicant gets an offer. Prepare well for the interview.
How to prepare for the Mercor interview
Source: Mercor's help pages. talent.docs.mercor.com
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.
1\. Overview
Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented open-source maintainers and core contributors with deep, hands-on ownership of a mature, widely used open-source codebase to bring real-world engineering and code review judgment and elevate the quality of our AI training data. The role requires 30-40 hours per week, with flexible scheduling. Most work is asynchronous and can be done in the evenings or on weekends, with occasional meetings with the lab's researchers as needed.
You'll be engaged through Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce.
2\. Key Responsibilities
- Guide research and engineering teams to close knowledge gaps and improve AI model performance in software engineering, code review, and open-source maintenance topics.
- Design challenging, realistic engineering tasks grounded in the open-source codebase the expert knows best, such as the features, refactors and bug fixes a maintainer would assign, and write accurate, well-structured reference solutions.
- Evaluate AI-written code, tests and grading rubrics against the repository's architecture, conventions and quality bar, and provide clear, written technical feedback.
- Build, run and test the project locally, including with Docker, to confirm that tasks, solutions and tests behave as intended.
- Write precise rationales that explain what a strong solution looks like and where AI-generated changes fall short.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
3\. Core Qualifications
- Maintainer (named in MAINTAINERS or CODEOWNERS, or 10+ PR reviews in the last 12 months) or core contributor (3+ substantive merged PRs in the last 12 months) of a widely used open-source project.
- The repository is 2+ years old, has real users and an active code review culture, and is primarily human-written.
- Years of sustained open-source contributions, with a public history that can be verified against the candidate's own GitHub account.
- Senior-level code review judgment, including the ability to critically assess AI-written code, tests and edge cases.
- Hands-on ability to build and run the project and its test suite locally, including with Docker.
- Ability to commit 30-40 hours/week as your primary work focus, with availability for occasional meetings with the lab's researchers. Given that time commitment, this role isn't a fit alongside a full-time job.
- Exclusivity: no work with another AI lab or AI training company, including other Mercor projects, during the engagement.
- Authorized to work in the country you live in.
- Able to complete any necessary background checks and confidentiality agreements before starting, and to work on a company-provided device to protect the security of information.
- Writes all rationales and feedback personally, in their own words.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
About Cincinnatus LLC:
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing employment, payroll, benefits, and compliance, while placing professionals directly within client teams to work on high-impact initiatives.
Equal Employment Opportunity:
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.
Quoted from Mercor's public listing on 2026-11-13. We don't edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
Mercor review: AI-interview talent network
4.1/5 on Glassdoor, fastest-growing platform in the category (+509% YoY). What the AI video interview actually asks, real pay across coding/research/medical/legal/finance tracks ($25-$200/hr), and the project-availability problem.
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