The work
You will help improve AI systems that need to understand industrial operations, plant performance, and energy asset management. The work involves creating expert training data and reviewing AI-generated content against real-world energy operations practices.
- Create training data based on professional experience in industrial operations, plant performance, or energy asset management.
- Evaluate AI-generated responses for accuracy, relevance, and fit with energy operations and performance engineering practices.
- Use practical knowledge of tools such as AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
- Write clear feedback and make careful decisions while working independently with an asynchronous team.
What it pays and takes
This is a remote, project-based contract role that can be done alongside other commitments. Previous AI experience is not required.
- Pay: Up to $85 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates in the United States.
- Language: Professional fluency in English.
- Experience: At least two years of professional experience in industrial operations, plant performance, energy asset management, or a comparable energy-industry role.
- Relevant backgrounds include Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling or Production Engineer, Generation Asset Analyst, or a similar position.
- Hands-on experience with at least one of AVEVA PI, WinCC, Oracle MDM, Power BI, and Bloomberg Terminal.
- Strong written communication, attention to detail, and the ability to work independently.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.