This is not a traditional job. You’ll draw on your hands-on experience with industrial operations, plant performance, and energy asset management to evaluate AI-generated content and provide feedback that helps AI better understand operations workflows and performance engineering practices.
This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.
Placement depends on current project needs, with opportunities to be considered for future projects as they become available.
Responsibilities
This project involves using your professional experience and hands-on knowledge of the tools you use in your daily work to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
Experience and education
At least 2 years of professional experience in industrial operations, plant performance, or energy asset management, in roles such as:
Plant Performance Engineer or Reliability Engineer.
SCADA Engineer or Drilling/Production Engineer.
Generation Asset Analyst.
Or equivalent roles in the energy industry.
Hands-on experience with one or more of the following tools:
AVEVA PI.
WinCC
Oracle MDM.
Power BI.
Bloomberg Terminal.
Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.
Schedule details
Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyHandshake AI
Turing