Maintenance Planner AI Training Expert

You will create expert training data about energy maintenance and operations, then review AI-generated responses for accuracy, relevance, and fit with real maintenance and reliability workflows. You will use practical experience with asset management, maintenance planning, reliability, and grid operations to make clear evaluation decisions.

The work is independent and asynchronous. You will communicate your reasoning clearly while supporting AI research projects focused on energy maintenance reliability.

• Create training data using professional knowledge of energy maintenance and operations.
• Evaluate AI-generated content for accuracy, relevance, and alignment with real-world workflows.
• Apply judgment based on operational tools and industry processes.
• Explain evaluation decisions clearly while working independently.

What it pays and takes

This is a remote, part-time, project-based contractor opportunity for candidates in the United States. The structured requirement is 20 or more hours per week, and the work requires fluent English.

• Pay: up to $85 per hour.
• Location: Open to candidates in the United States.
• Hours: 20 or more hours per week.
• Experience: At least two years in asset management, maintenance reliability, grid operations, or a comparable energy-industry role.
• Relevant roles include Maintenance Planner, Reliability Engineer, Outage Coordinator, and Distribution Operations Analyst.
• Hands-on experience with IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS.
• Strong written communication, attention to detail, and independent working habits.
• No prior AI experience is 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 behind systems that learn from examples. Contributors create and review text, ratings, and other training data so AI systems can produce more accurate and useful results, while experienced professionals contribute knowledge from fields such as maintenance and reliability.