The work
You will build and improve software tools for agentic AI systems and data applications. The work includes production coding, testing, debugging, refactoring, and technical documentation.
- Build MCP tools for proprietary and open-source environments.
- Improve workflows and 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
- Pay: Not specified.
- Time: 20+ hours per week.
- Location: Open worldwide.
- Work type: Contractor and part-time.
- Language: Professional fluency in English.
- Experience: The role is listed as entry level and calls for four to eight years of software engineering experience.
- Programming: Strong proficiency in Python or Go, ideally both.
- Data skills: Intermediate or stronger SQL skills.
- Technical background: Experience in large-scale software engineering environments and building or contributing to agentic AI systems.
- Other requirements: Familiarity with AI coding assistants, strong coding, testing, and debugging skills, plus clear technical writing and documentation skills.
- Helpful: Contributions to open-source projects on GitHub and advanced SQL expertise.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work is the human work behind modern AI systems, including preparing code, text, images, audio, and other examples. Software engineers are needed for specialist projects because their technical knowledge helps build, test, and evaluate reliable AI tools.
Listed by OpenTrain AI. Details can change, so check the original posting before applying. View original posting