Energy Industry Professional for AI Evaluation

Generation Asset Analysts apply operational and asset-management expertise to evaluate AI-generated content and produce expert training data that improve AI understanding of energy operations workflows and performance engineering practices. This is contract, project-based, hourly work performed fully remotely. No prior AI experience is required.

• Assess AI-generated responses for technical accuracy, completeness, and practical relevance based on hands-on experience with industrial operations and plant performance
• Create and annotate expert-level training data derived from real-world workflows, procedures, and troubleshooting practices
• Provide clear, actionable feedback that helps models learn correct operations workflows and performance engineering considerations
• Document rationale and results in writing and collaborate asynchronously with AI research teams

• At least 2 years of professional experience in industrial operations, plant performance, or energy asset management
• Relevant roles include, but are not limited to, Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling or Production Engineer, Generation Asset Analyst, or equivalent energy industry positions
• Hands-on experience with one or more of these tools: AVEVA PI, WinCC, Oracle MDM, Power BI, Bloomberg Terminal
• Strong written communication skills, high attention to detail, and the ability to work independently and asynchronously

• Fully remote, part-time, hourly contract engagement rather than a traditional full-time employment role
• Flexible, asynchronous schedule with no minimum hour requirement
• Typical participation during an active project is approximately 5 to 20 hours per week
• Ongoing, project-based involvement you can take on alongside other commitments
• Placement on specific projects depends on current project needs; additional opportunities may become available over time

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

• No prior AI experience required, candidates must bring domain expertise from energy operations and asset management
• Ability to work remotely and communicate asynchronously with project teams
• Selection for assignments is based on project requirements and your fit to those needs

• Create a contributor profile to express interest in participation
• Complete identity verification as part of onboarding
• Join and complete onboarding for projects that match your skills
• Begin assigned tasks and be paid for hours worked once engaged on a project