Electrical Engineering

You will support AI agent infrastructure by building Python backends that reproduce the behavior of tools such as Slack, Linear, Jira, Notion, Gmail, and wikis. You may also create and review realistic long-horizon tasks and evaluation rubrics used to develop and assess AI agents.

The title references Electrical Engineering, while the duties below describe Python backend and AI agent infrastructure work. Review the duties and qualifications before applying.

• Build backend applications that reproduce the behavior of software tools.
• Extend existing connectors and create new connectors within agreed milestones.
• Test and validate connector behavior against the system being reproduced.
• Study data and workflows to find opportunities for realistic long-horizon tasks.
• Write tasks and check their realism, quality, and correctness.
• Create rubrics that distinguish correct, partly correct, and deficient work.
• Use AI coding agents during development, quality checks, and validation.
• Take part in calibration and quality reviews while meeting the expected quality standard.

This is a remote contractor engagement lasting four weeks and starting immediately. Work is open worldwide, and the role requires English fluency.

• Pay: $300 per approved task.
• Schedule: At least 20 hours per week.
• Daily requirement: Complete at least one task that is approved each day.
• Additional work: You may complete more tasks while work remains available.
• Engagement: Remote contractor work for four weeks.
• Experience level: Entry level.
• Experience: At least three years of backend development experience.
• Technical skills: Strong Python skills with FastAPI, Flask, or Django.
• Backend knowledge: Scalable backends, REST APIs, and microservices.
• Development practices: Git, Docker, pipelines, testing, and code-quality practices.
• AI tools: Daily experience with coding assistants such as Claude Code, Codex, Cursor, or GitHub Copilot.
• Language: Fluent in English.

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

AI training is the human work behind systems that learn from examples, including software tasks, written responses, and evaluations. Experienced contributors are needed to create reliable examples and judge whether AI-generated work is correct, useful, and complete.