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Python Backend Developer – AI Coding Evaluation

Build scalable Python APIs and help test AI coding tools in focused four-day bursts. This remote contractor role offers $50–$100 per hour, 20+ hours weekly, and the chance to shape developer-focused AI systems.

OpenTrain AI

Coding & Software

100% Remote Hourly · $50–$100/hr

$50–$100/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Jun 28, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and grow in a rapidly developing industry.

Creating an OpenTrain account is free, and this opportunity is available worldwide for contractors who can work in English.

About AI Training Work

AI training is the human side of building modern artificial intelligence. Developers and subject-matter experts help improve AI systems by testing model outputs, documenting failures, and providing clear feedback that guides future performance.

In this role, your backend engineering experience will support the evaluation of AI-powered coding tools through realistic development workflows and structured technical feedback.

The Role

OpenTrain AI is seeking a Python Backend Developer to contribute to backend API development and AI model testing. You will work with REST and GraphQL services, data validation, database migrations, schema changes, security practices, and performance improvements.

The role includes focused four-day intensive testing bursts tied to real coding workflows. Contractors are expected to contribute 20 or more hours per week and provide detailed observations throughout the testing process.

  • Role type: Part-time contractor
  • Work arrangement: Fully remote and worldwide
  • Language: English
  • Time commitment: 20+ hours per week
  • Compensation: $50–$100 USD per hour

What You’ll Do

You will combine hands-on Python backend development with structured evaluation of AI coding models in Cursor. Clear technical communication is central to the work: your reports and feedback will help identify issues and improve both model performance and the developer experience.

  • Design, develop, and optimize scalable REST and GraphQL endpoints.
  • Improve backend data validation, error handling, and API security practices.
  • Plan and execute database migrations, performance optimizations, and schema changes.
  • Test AI-powered coding models in Cursor using real coding workflows.
  • Document issues through incident reports, bug traces, and screenshots.
  • Share observations in Slack and complete detailed post-burst surveys.
  • Work through four-day intensive testing bursts.

Required Skills and Experience

This opportunity is listed at the entry level, while the work requires strong practical Python backend development skills and hands-on experience with modern APIs and databases. Applicants should be able to demonstrate their development experience through public work.

  • Strong Python backend development experience.
  • Hands-on experience with RESTful and GraphQL APIs.
  • Knowledge of database migrations, schema design, and performance tuning.
  • Ability to write clear incident reports, bug traces, and feedback notes.
  • Familiarity with Cursor or other AI coding tools.
  • Public Python portfolio, GitHub activity, or open-source work.

Who Should Apply

This role may suit a Python developer who enjoys investigating technical issues, improving backend systems, and examining how AI coding tools behave in practical development scenarios. Strong written documentation and careful attention to detail are important for producing useful model feedback.

The work is remote and part time, making it suitable for contributors seeking flexible participation while applying their software engineering skills to cutting-edge AI training.

  • Python backend developers with API and database experience.
  • Engineers comfortable reviewing model-generated code and reproducing bugs.
  • Contributors who can commit to 20 or more hours weekly.
  • Applicants able to provide public evidence of Python development work.

How AI Training Projects Work

AI training projects rely on human expertise to prepare examples, evaluate outputs, and explain where an AI system succeeds or falls short. Contributors who provide precise, actionable feedback play a direct role in improving how these systems work.

To pursue this opportunity, create a free OpenTrain account and build a profile that reflects your Python development experience, public work, and relevant AI-tool familiarity.

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