Plant Performance Engineer for AI Evaluation

Plant Performance Engineers apply hands-on industrial operations and performance engineering experience to evaluate AI-generated content and create expert training data that improves how AI systems understand operations workflows and asset performance.

• Use your professional experience with plant operations, reliability, and energy asset management to assess AI-generated responses for technical accuracy and relevance.
• Create expert-level training examples and annotations based on real-world workflows, procedures, and performance data.
• Provide clear, actionable feedback to help AI better capture operational practices and performance engineering decision making.
• Work asynchronously with AI research teams, documenting findings and corrections in written form.

• Minimum 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, attention to detail, and the ability to work independently and asynchronously with remote research teams.
• No prior AI or machine learning experience required, only domain expertise and practical systems knowledge.

• Engagement type: hourly contract work, not a traditional full time employment role.
• Schedule: fully remote, flexible and asynchronous, with no minimum hours required.
• Typical participation: when active on a project, most contributors work approximately 5 to 20 hours per week.
• Placement on projects is driven by current needs, and contributors may be considered for future projects as they become available.

• Pay rate: Up to $85/hr (depending on the project)

• Open to energy industry professionals who can perform remote, contract-based hourly work and who meet the experience and tool proficiency requirements listed above.

• Create an account and submit your profile indicating your relevant experience and tools used.
• Complete an identity verification step so you can be matched to projects.
• Onboard into projects that fit your background and begin contributing to tasks and evaluations.
• Start performing project work and receiving hourly payments for completed assignments.