Open Source Contributor for Technical AI Training

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. is seeking an Open Source Contributor for Technical AI Training. This remote, part-time contractor role focuses on creating, solving, reviewing, and validating technical tasks used to evaluate AI systems. Tasks are paid per accepted item and must meet project specifications.

The work blends hands-on programming with careful technical review. You will build reproducible environments, reference solutions, and clear evaluation criteria to measure model performance across domains.

Qualifications

• Proficiency in Python and software development.
• Strong experience with open-source contributions and public repositories.
• Ability to review and judge technical work for correctness and quality.

Responsibilities

• Create, solve, review, and validate technical tasks used to evaluate AI systems.
• Build reproducible environments, reference solutions, tests, and evaluation criteria.
• Review AI-generated work for correctness, completeness, and quality.
• Identify model failures and explain why approaches or results are incorrect.
• Work across software engineering, machine learning, hardware, and security domains.

Skills

Python

Open-source contribution

Code review

English proficiency

Tools

Git

Job description

Open Source Contributor for Technical AI Training

Create, solve, review, and validate technical tasks used to evaluate AI systems. This flexible remote contractor role pays $60 to $120 per hour equivalent, paid per task that meets the project specifications.

$60–$120/hr

equivalent, paid per accepted task

Compensation

Contract, part-time

Engagement

Remote

Location

Open in 52 countries

• United Kingdom
• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United States
• Uzbekistan
• Vietnam

The work

You will create and assess difficult tasks based on real software, scientific, hardware, and engineering work. The tasks help measure whether AI systems can reason, write code, use technical tools, and complete longer projects.

You will combine hands-on programming with careful technical review. Your work must be reproducible, meaning another person should be able to run it and reach the same result.

• Create realistic technical tasks based on professional, scientific, or engineering workflows.
• Build reproducible environments, reference solutions, tests, and clear evaluation criteria.
• Review AI-generated work for correctness, completeness, reproducibility, and technical quality.
• Find model failures and explain why an approach or result is incorrect.
• Work across software engineering, machine learning, scientific computing, hardware, embedded systems, electronics, infrastructure, automation, and security.

What it pays and takes

This is flexible, fully remote contractor work. Compensation is output-based and paid for accepted tasks that meet the project specifications and quality requirements.

• $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Part-time work with a commitment of less than 20 hours per week.
• Open to candidates in the listed countries.
• Professional fluency in English.
• Strong programming ability and practical proficiency in Python.
• Meaningful merged contributions to established open-source repositories or substantial original public projects.
• Demonstrable work involving implementation, debugging, testing, performance, infrastructure, simulation, or data processing.
• Expertise in at least one relevant software, science, hardware, or engineering field.
• Public evidence of technical work, such as maintainer responsibilities, technical tools, scientific software, research code, or substantial repositories.
• Careful judgment when assessing correctness, completeness, reproducibility, and quality.

Helpful background

Experience designing technical tests, benchmarks, evaluation tasks, or reproducible environments is useful. Code review experience, publications, competition results, public technical writing, or long-term work on complex projects can also show relevant expertise.

Previous AI-training experience is not required.

About AI training work

AI training is the human work behind systems that write, code, reason, and use tools. Experienced contributors are paid to create reliable examples, test difficult cases, and judge whether model outputs are correct and useful.

Requirements

Job details

Location

100% remote

Pay

Languages

Engagement

Contract, part-time

Coding & Software

Data type

Computer Code Programming

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