The work
You will build and improve software that supports agentic AI systems, including MCP tools for proprietary and open-source environments. The role combines production development, testing, debugging, technical documentation, and practical work on AI-powered data systems.
- Build and enhance MCP tools for proprietary and open-source environments.
- Expand test coverage for AI coding assistants.
- Refactor, maintain, and improve test frameworks and existing codebases.
- Turn technical blog content into production-ready sample code and documentation.
- Develop real-world data applications using tools such as QueryData.
- Work with cross-functional teams to support adoption of agentic AI capabilities.
What it pays and takes
The listing does not include a pay rate. The role is marked as entry level and is structured as part-time contract work.
- Location: Open worldwide.
- Time: 20 or more hours per week.
- Language: Professional fluency in English.
- Technical skills: Strong proficiency in Python or Go, with both preferred.
- Required knowledge: Intermediate or stronger SQL skills.
- Useful experience: Large-scale software engineering environments, agentic AI systems, and AI coding assistants.
- Core abilities: Strong coding, testing, debugging, technical writing, and documentation.
- Helpful additions: Open-source contributions on GitHub and advanced SQL expertise.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find this role and start the application.
About AI training work
AI training is the human work behind systems that learn from examples, including software, text, images, and other data. OpenTrain helps people find and build careers in this field by bringing projects together in one place and helping contributors build a lasting portfolio.