Reliability Engineer, Energy AI Evaluation

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.

About AI training work

AI training work is the human side of building artificial intelligence. Contributors create examples and review model responses so AI systems can produce more accurate and useful results, and people with professional experience are needed to judge specialized work.