Energy Industry Professional for AI Model Evaluation

Distribution Ops Analysts apply hands-on experience in asset management, maintenance planning, and grid operations to evaluate AI-generated content, create expert training data, and provide feedback that improves AI understanding of maintenance workflows and reliability engineering practices.

• Review AI-generated responses related to distribution operations, maintenance planning, and reliability engineering for technical accuracy and practical relevance.
• Use your daily-work knowledge of asset management and grid operations to create expert-level training examples and annotations.
• Provide clear, constructive feedback to help refine AI outputs so they match real-world workflows and decision making.
• Work asynchronously with research teams, documenting edge cases, common errors, and areas where AI guidance needs adjustment.

• Minimum 2 years of professional experience in asset management, maintenance reliability, or grid operations.
• Relevant roles include Maintenance Planner, Reliability Engineer, Outage Coordinator, Distribution Ops Analyst, or equivalent positions in the energy industry.
• Hands-on experience with one or more of the following tools: IBM Maximo, Oracle OMS, AVEVA PI, ArcGIS.
• Strong written communication, attention to detail, and the ability to work independently in an asynchronous environment.
• No prior AI experience required.

• Location: Fully remote.
• Employment type: PART_TIME.
• Schedule: Flexible, asynchronous work, with no minimum hour requirement. Most contributors work approximately 5 to 20 hours per week when participating in an active project.
• Engagement model: Ongoing, project-based contract work. Placement on projects depends on current project needs, and contributors may be considered for future projects as they become available.

Up to $85/hr (depending on the project)

• You must meet the experience and tool familiarity qualifications listed above to be eligible for projects.
• Application steps, summarized: create an account, complete identity verification, join and complete onboarding for relevant projects, then begin assigned tasks and receive payment.