Reliability Engineer - Remote Energy AI Project
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks energy professionals to join a remote, part-time fellowship that brings real operations knowledge into AI research. You review AI-generated answers, flag errors, and craft expert training data using your own experience with plant performance, industrial operations, or energy asset management. The schedule is async, and most contributors log 5 to 20 hours per week during active projects. You do not need prior AI experience. The project runs as long as client needs continue, and strong contributors may get picked for later assignments.
What You'll Do7
- 1Create expert training examples from your everyday work in plant performance, reliability, or asset management.
- 2Review AI-generated answers and judge their accuracy against real energy operations practices.
- 3Flag technical mistakes, missing context, or unsafe recommendations in model outputs.
- 4Write feedback that explains correct workflows, calculations, or equipment behavior to AI researchers.
- 5Use tools such as AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal to validate examples.
- 6Coordinate with research teams through async messages and shared project notes.
- 7Log project hours and track progress across active assignments.
Requirements7
- 1At least 2 years of professional experience in industrial operations, plant performance, or energy asset management.
- 2Background in a role such as Reliability Engineer, Plant Performance Engineer, SCADA Engineer, Drilling or Production Engineer, or Generation Asset Analyst.
- 3Hands-on use of at least one tool from this list: AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal.
- 4Strong written communication skills, with the ability to explain technical topics in plain language.
- 5Sharp attention to detail when checking numbers, assumptions, and operational logic.
- 6Comfort working on your own schedule and managing your own project time.
- 7No prior AI experience required.
Who Should Apply
The role fits energy professionals with at least two years in plant performance, reliability, industrial operations, or asset management. You may come from a SCADA, drilling, production, or generation asset analysis background, and you use tools like AVEVA PI, WinCC, or Power BI on the job. This work is less suitable for someone who wants a fixed full-time schedule, steady project length, or hands-on plant shifts. Applicants often score low when they list energy experience in broad terms but cannot show specific tools, assets, or operational decisions. Another common miss is weak writing samples that do not explain technical ideas in plain language.
Salary Insight
The listing states pay up to $85.00 per hour. For part-time AI training work in specialized domains, that figure reflects the value of hands-on energy operations experience. No other compensation details appear in the source.
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Compensation
Up to $85/hr
Required Skills
Application Tip
Name the exact systems you use, such as AVEVA PI, WinCC, Oracle MDM, Power BI, or Bloomberg Terminal, and describe one real operations problem you solved with them. Add a short writing sample that explains a plant performance or reliability issue in plain language. Those details help reviewers match your background to the project needs.
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