The work
You will help improve AI systems by applying practical knowledge of energy operations, maintenance planning, asset management, and grid reliability. The work includes creating written training examples and reviewing AI-generated responses for accuracy and relevance.
You will work independently and asynchronously, using professional judgment to give clear feedback on operational content.
- Create training data based on real-world energy industry workflows and maintenance practices.
- Review AI-generated content about asset management, reliability, maintenance workflows, and grid operations.
- Write clear feedback that helps improve AI understanding of reliability engineering and maintenance practices.
- Apply careful professional judgment while working independently with AI research teams.
What it pays and takes
This is an ongoing, project-based contractor role with part-time work on active projects. Availability depends on current project needs.
- Pay: up to $85 per hour.
- Hours: 20+ hours per week.
- Location: fully remote and open to candidates in the United States.
- Work style: flexible, asynchronous, and part time.
- Experience: at least two years in asset management, maintenance reliability, grid operations, or a comparable energy industry role.
- Relevant backgrounds include Maintenance Planner, Reliability Engineer, Outage Coordinator, or Distribution Operations Analyst.
- Tools: hands-on experience with one or more of IBM Maximo, Oracle OMS, AVEVA PI, and ArcGIS.
- Skills: strong written communication, close attention to detail, and the ability to work independently.