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Python Backend Engineer for AI Agent Infrastructure

Build Python backends, connectors, and evaluation tasks for AI agents in a remote four-week contractor engagement. Earn $300 per approved task with a minimum of one approved task per day.

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OpenTrain AI

Coding & Software

100% Remote Per task · $300/label

$300/label

Compensation

Worldwide

Eligibility

Entry

Experience

Sep 26, 2026

Posted

Open worldwide

The work

You will support AI agent infrastructure and training data development through practical Python engineering, testing, quality review, and technical judgment. Work may follow one of two tracks: building backend connectors or creating realistic tasks and evaluations for AI agents.

  • Build Python backend applications that replicate tools such as Slack, Linear, Jira, Notion, Gmail, and wikis.
  • Test connectors for faithful behavior, extend existing integrations, and create new connectors within agreed timeframes.
  • Analyze data and workflows, author realistic long-horizon engineering tasks, and check task quality through structured quality assurance.
  • Write rubrics that distinguish correct, partly correct, and deficient work.
  • Use AI coding assistants during development, testing, and validation.
  • Take part in calibration and quality reviews and deliver work against agreed milestones.

What it pays and takes

This is a remote contractor engagement starting immediately and lasting four weeks. The listing is marked entry level, but the role requires at least three years of backend development experience.

  • Pay: $300 per approved task.
  • Workload: 20 or more hours per week.
  • Minimum output: one completed and approved task per day.
  • Task volume: no cap while project work is available.
  • Location: worldwide and fully remote.
  • Language: English.
  • Required: strong Python skills and experience with FastAPI, Flask, or Django.
  • Required: experience with scalable backends, REST APIs, and microservices.
  • Required: working knowledge of Git, Docker, pipelines, testing, and code-quality practices.
  • Required: daily use of AI coding assistants such as Claude Code, Codex, Cursor, or GitHub Copilot.
  • Helpful: experience turning real software workflows into reliable backend behavior, designing realistic engineering tasks, or judging technical work against clear quality standards.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About OpenTrain and AI training work

OpenTrain is where people find and build careers in AI training and data labeling, including software engineering projects that help improve AI systems. AI training is the human work behind modern models, such as building examples, testing agent behavior, and reviewing whether technical work meets clear standards.

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