Distribution Ops Analyst - Remote Part-Time
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires energy professionals for project-based AI research. Contributors review AI-generated answers about maintenance workflows, reliability engineering, and grid operations. Your daily use of IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS shapes the feedback you give. The schedule stays remote and async, with most active contributors working 5 to 20 hours each week and no minimum hour rule. Placement depends on active project needs, and contributors can join future projects as they open.
What You'll Do8
- 1Review AI-generated responses for accuracy and relevance in asset management, maintenance reliability, and grid operations.
- 2Create expert training examples from real maintenance planning, outage coordination, or distribution operations tasks.
- 3Score model answers against accepted industry practices for reliability engineering and maintenance workflows.
- 4Flag errors in tool-specific procedures that involve IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS.
- 5Write clear feedback that explains why an AI answer is right, wrong, or incomplete.
- 6Apply hands-on knowledge of asset management and maintenance planning to guide model output.
- 7Work through project tasks on an async schedule without a minimum hour requirement.
- 8Coordinate with AI research teams on project instructions and domain questions.
Requirements7
- 1At least 2 years of professional experience in asset management, maintenance reliability, or grid operations.
- 2Background as a Maintenance Planner, Reliability Engineer, Outage Coordinator, Distribution Ops Analyst, or a similar energy industry role.
- 3Hands-on use of at least one tool from this list: IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS.
- 4Strong written communication skills and close attention to detail.
- 5Ability to work on an async schedule with AI research teams.
- 6Comfort reviewing AI-generated content for technical accuracy and relevance.
- 7No prior AI experience needed.
Who Should Apply
The ideal candidate brings at least two years in asset management, maintenance reliability, or grid operations and has used IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS in daily work. Energy professionals who enjoy writing precise feedback and can spot technical gaps in AI answers will fit well. The role is less suitable for people without hands-on energy industry experience, even if they have strong general AI or data skills. Candidates often score low when they list broad maintenance knowledge and cannot name specific tools or workflows they have handled. A weak writing sample also leads to rejection, because every task depends on detailed, exact feedback.
Salary Insight
The listing shows compensation up to $85.00 per hour. That rate sits near the top for part-time AI training work and aligns with contributors who have direct energy operations experience and hands-on tool knowledge. Pay is project-based, and hours vary by active project.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$70/hour
This role
up to $85/hr
Most Data Science & Analytics roles pay $45–$85 per hour. This role's pay falls inside that range.
Based on 124 similar roles that publish pay · 19 publish only a top rate; those count at the rate they gave
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Compensation
Up to $85/hr
Required Skills
Application Tip
Name the exact energy tools you use, such as IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS, and add one short example of a maintenance or outage task where that tool helped you catch an issue. Quantify your years in asset management, reliability, or grid operations so reviewers can match you to a project fast.
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