Maintenance Planner - AI Training Project

What You'll Do8

• Review AI-generated answers about maintenance planning, asset management, and grid operations for factual errors.
• Score each response for relevance to real reliability engineering workflows.
• Create expert training examples that reflect your daily work with energy industry tools.
• Write concise feedback that explains why an AI response misses key maintenance or outage coordination steps.
• Apply hands-on knowledge of IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS to judge technical accuracy.
• Track your completed evaluations and submit them through the project platform.
• Coordinate with AI research teams through written messages on an asynchronous schedule.
• Flag gaps in reliability engineering logic or distribution operations practices.

Requirements7

• At least 2 years of professional experience in asset management, maintenance reliability, or grid operations.
• Background as a Maintenance Planner, Reliability Engineer, Outage Coordinator, Distribution Ops Analyst, or a similar energy industry role.
• Hands-on use of at least one platform: IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS.
• Clear writing that can explain technical judgments to a research team.
• Close attention to detail when checking AI output for errors.
• Ability to work on your own and in asynchronous settings with AI research teams.
• No prior AI experience needed.

Who Should Apply

The ideal candidate has at least two years in asset management, maintenance reliability, or grid operations and can point to daily use of IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS. You should enjoy writing short, precise evaluations that separate a correct maintenance workflow from a flawed one. This role fits people who want part-time, remote project work without a fixed schedule. Candidates who lack direct energy industry experience or have never used the listed platforms often score low on fit. Another common reason for rejection is vague written feedback that fails to show how your domain knowledge applies to the AI response.

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