Plant Performance Engineer for AI Evaluation

Plant Performance Engineers apply hands-on experience in industrial operations, plant performance, and energy asset management to create expert-level training data and evaluate AI-generated content for technical accuracy and operational relevance. You will review AI responses, annotate errors or gaps, and provide detailed feedback that helps AI systems better represent real-world operations workflows and performance engineering practices. This is project-based, part-time, remote contract work that can be done alongside other commitments. No prior AI experience is required.

• Use your operational and engineering experience to produce and validate expert training examples for AI systems.
• Evaluate AI-generated responses for accuracy, relevance, and safety relative to plant operations and performance engineering.
• Provide written feedback, annotations, and corrections that clarify workflows, metrics, and best practices.
• Document edge cases, realistic scenarios, and common failure modes from your field experience.
• Work asynchronously with AI research teams, completing assigned review tasks independently and on schedule.

• Minimum of 2 years of professional experience in industrial operations, plant performance, or energy asset management.
• Typical roles that meet this requirement include Plant Performance Engineer, Reliability Engineer, SCADA Engineer, Drilling Engineer, Production Engineer, Generation Asset Analyst, or equivalent energy industry positions.
• Hands-on experience with one or more of the following tools: AVEVA PI, WinCC, Oracle MDM, Power BI, Bloomberg Terminal.
• Strong written communication skills, close attention to detail, and the ability to work independently and asynchronously with remote teams.
• No prior AI or machine learning experience is required, only domain expertise and practical familiarity with the tools and workflows you use daily.

• Location: Remote only.
• Employment type: Part-time, hourly contract work as an independent contractor.
• Schedule: Flexible, asynchronous work, with no minimum hour requirement.
• Typical commitment when engaged on an active project is approximately 5 to 20 hours per week.
• Project placement is based on current project needs. Contributors may be considered for future projects as new opportunities arise.

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

• You will be required to complete identity verification as part of onboarding.
• Onboarding includes selecting and being accepted into projects that match your background, plus any project-specific orientation or instructions.

• Create an account and complete your profile to show your relevant experience.
• Complete the required identity verification step.
• Review available projects and join those that align with your skills, then complete the project onboarding steps.
• Begin assigned review tasks and receive payment for completed work while participating in active projects.