Advanced Python QA for AI Model Training

About OpenTrain AI

OpenTrain AI is the #1 platform for building careers in AI training and data labeling. We hire and contract contributors who directly shape how modern AI systems behave by doing the human work that trains and refines models.

We offer remote, flexible, and impactful work: join a fast-growing industry where careful, skilled contributors are essential to building safe, useful AI.

About AI Training Work

AI training (also called data labeling or human feedback work) is the human side of building artificial intelligence. Projects range from annotating code and reviewing model outputs to rating responses and ensuring training data quality.

Contributors often work remotely on part-time contractor schedules, and many projects require no prior AI-specific experience — but some specialist roles, like this one, do require deep coding knowledge.

The Role

OpenTrain AI is hiring Advanced Python QA professionals to support LLM Data Training projects focused on coding practices. You will conduct quality assessments of training items produced by engineers, review Python code quality, and ensure Service Level Agreement (SLA) standards are met.

This is a remote contractor, part-time position expected to run 6+ months. The role requires a reliable commitment of 30–40 hours per week. Compensation is hourly at USD $13/hr.

What You’ll Do

You will apply your Python expertise to keep training data and code at production quality. Work is review- and metrics-driven, with a focus on clarity, correctness, and SLA adherence.

• Conduct thorough quality assessments of LLM Data Training items created by other engineers.
• Review Python code for correctness, style, maintainability, and potential issues that affect model training.
• Enforce SLA requirements and report/status issues that threaten on-time delivery or quality targets.
• Produce high-quality deliverables with minimal supervision and escalate complex problems as needed.
• Communicate findings clearly to remote team members and track remediation progress.

Requirements

Candidates must meet all substantive requirements listed below. Applications that do not meet the core experience requirement should expect a low qualification score.

• At least 5 years of professional experience with Python.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Ability to commit 30–40 hours per week reliably for the next 6+ months.
• Minimum B2 level of English proficiency; please state your CEFR level and give brief examples of professional communication in English.
• Proven ability to conduct code and quality assessments in Python and maintain SLA standards.
• Excellent analytical skills, attention to detail, and the ability to produce high-quality work with minimal supervision.
• Effective remote communication skills, stable internet connection, and reliable electricity.

Who Should Apply

Experienced Python developers who enjoy quality assurance, code review, and working directly on the data and code that train AI should apply. This role suits candidates who prefer focused, remote contractor work and can commit predictable weekly hours.

If you have prior exposure to LLM training projects or code-review processes that feed model training, highlight that experience in your application.

How This Role Works & How To Apply

This is a contractor, part-time role paid hourly (USD $13/hr). You will be contracted by OpenTrain AI and expected to meet SLA and availability commitments independently.

To apply, submit your resume and a short cover note that: (1) states your CEFR English level and gives a brief example of professional English use, (2) confirms you can commit 30–40 hours/week for 6+ months, and (3) summarizes your relevant Python QA/code-review experience. Include links to code samples or GitHub if available.