Plant Performance Engineer, Energy AI Evaluation

The duties focus on evaluating AI for energy operations; review the responsibilities and qualifications before applying.

• Create expert training data based on experience in industrial operations, plant performance, or energy asset management.
• Review AI-generated responses for accuracy and relevance.
• Write clear feedback grounded in real energy operations and performance engineering practices.
• Work independently and asynchronously using tools from your professional workflows.

What it pays and takes

• Pay: Up to $85 per hour for contract work.
• Workload: 20+ hours per week; the opportunity is ongoing, project-based, flexible, and asynchronous.
• Location: Remote; open to candidates in the United States.
• Language: The work is in English.
• Experience: At least two years in industrial operations, plant performance, energy asset management, or a related energy industry role.
• Relevant roles include plant performance engineer, reliability engineer, SCADA engineer, drilling or production engineer, and generation asset analyst.
• Hands-on experience with at least one of AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
• Strong written communication, attention to detail, and ability to work independently. Prior AI experience is not required.

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 of creating examples and reviewing AI responses so models can learn from accurate, useful information. Experienced professionals are paid to bring real-world knowledge to that work.