Python Backend Engineer for AI Agent Infrastructure

OpenTrain AI, Inc.; United States; Remote; USD 67,000 - 100,000; Part time

Job summary

OpenTrain AI, Inc. is recruiting contractors for a four-week remote engagement to support AI agent infrastructure and training data development.

You will build Python backend applications that replicate tools like Slack, Jira, Notion, Gmail, and wikis, and develop realistic long-horizon tasks with evaluation rubrics. This role offers freelance, remote work with milestones and daily deliverables.

Qualifications

• Three years of backend development experience with strong Python proficiency.
• Hands-on experience with FastAPI, Flask, or Django, plus scalable backends.
• Experience with REST APIs, microservices, Git, and Docker.
• Daily use of AI coding assistants such as Claude Code, Codex, Cursor, Copilot.
• Ability to assess technical correctness and quality standards.

Responsibilities

• Build Python backend applications that replicate tools and workflows.
• Extend connectors and test fidelity to emulated systems.
• Mine data and workflows to develop realistic long-horizon tasks.
• Write evaluation rubrics to differentiate correct, partially correct, and deficient work.
• Use AI coding assistants during development, QA, and validation.
• Participate in calibration and quality reviews against milestones.

Skills

Python

Backend development

FastAPI

Flask

Django

REST APIs

Microservices

Git

Docker

Testing

Code quality practices

AI coding assistants

Tools

Slack

Linear

Jira

Notion

Gmail

Wikis

Job description

About OpenTrain

OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.

About this role

OpenTrain is recruiting contractors for a four-week remote engagement supporting AI agent infrastructure and training data development. You will work on one of two related tracks: building and validating connectors that faithfully replicate SaaS tools, or developing realistic long-horizon tasks and the rubrics used to evaluate them. The engagement pays $300 per approved task and requires at least one completed and approved task per day, with no stated cap while work is available.

What you will do

Build Python backend applications that replicate tools such as Slack, Linear, Jira, Notion, Gmail, and wikis. Extend existing connectors and test whether they behave faithfully like the systems they emulate. Mine data and workflows to identify opportunities for realistic long-horizon task development. Author tasks and verify their quality, realism, and correctness through structured QA. Write evaluation rubrics that distinguish correct, partially correct, and deficient work. Use AI coding assistants during development, QA, and validation. Participate in calibration and quality reviews while delivering against agreed milestones.

Required skills

At least three years of backend development experience with strong Python proficiency. Hands-on experience with FastAPI, Flask, or Django, plus scalable backends, REST APIs, and microservices. Working knowledge of Git, Docker, pipeline fundamentals, testing, and code-quality practices. Daily experience using AI coding assistants such as Claude Code, Codex, Cursor, GitHub Copilot, or similar tools. Ability to assess technical correctness, realistic workflows, and quality standards.

Helpful background

Experience building SaaS integrations, backend connectors, workflow automation, or evaluation systems is useful for this role. Strong technical judgement is valuable when translating real workflows into reliable software tasks and clear evaluation criteria.

Why work with OpenTrain

OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.