Advanced Python QA Engineer for AI Training
Join OpenTrain as an advanced Python QA professional reviewing AI training data and code quality. Earn $13 per hour while committing 30 to 40 hours weekly for 6+ months.
Posted Jun 25, 2024
Build production-grade Python APIs that power AI training, evaluation, and benchmarking. This flexible contractor role offers 20+ hours per week for experienced backend engineers.
Coding & Software
10 countries
Eligibility
Entry
Experience
Aug 26, 2026
Posted
Open to applicants in
OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps professionals discover opportunities, build a credible AI work profile, and grow their experience in a fast-moving technology field.
AI systems depend on reliable software and carefully prepared examples. Engineers supporting AI training work help build the APIs and application pipelines used to train, evaluate, and benchmark modern models, connecting production backend systems with machine learning workflows.
OpenTrain is seeking a Senior Python API Engineer to build and optimize scalable backend services for advanced AI applications. You will design and maintain RESTful APIs across their full lifecycle, write production-grade Python, and help ensure that application pipelines and deployments operate smoothly.
The structured listing identifies this opportunity as entry level, while the role description requires at least eight years of professional Python development experience. Candidates should review that experience requirement carefully before applying.
You will own important parts of the backend development lifecycle, from API design through deployment. The work combines hands-on Python engineering, asynchronous programming, performance troubleshooting, collaboration with machine learning engineers, and disciplined code review.
This role calls for advanced backend engineering experience and ownership across the software development lifecycle. You should be comfortable designing scalable services, reviewing implementation risks, and maintaining dependable engineering processes.
Experience with machine learning frameworks can be useful when working on AI systems and application pipelines, though it is listed as helpful rather than required.
Apply if you are an experienced Python backend engineer who enjoys building dependable APIs, improving system performance, and collaborating on software that supports machine learning workflows. Strong communication in English and availability for 20+ hours per week are important for this opportunity.
OpenTrain gives professionals one place to build a lasting profile around AI training and data-labeling work. By documenting relevant experience and applying to roles that match your skills, you can develop a stronger portfolio in an industry shaping how state-of-the-art AI systems are built.
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