Handshake AI
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Distribution Ops Analyst - Remote Part-Time

Up to 85/hr
Remote
Part-Time
Posted April 25, 2026
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Listing checked October 23, 2026 · pay as published by Handshake AI

Key details

Pay
Up to $85/hr
Location
RemoteUnited States
Job type
Part-Time
Posted
April 25, 2026

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

  • Review AI-generated responses for accuracy and relevance in asset management, maintenance reliability, and grid operations.
  • Create expert training examples from real maintenance planning, outage coordination, or distribution operations tasks.
  • Score model answers against accepted industry practices for reliability engineering and maintenance workflows.
  • Flag errors in tool-specific procedures that involve IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS.
  • Write clear feedback that explains why an AI answer is right, wrong, or incomplete.
  • Apply hands-on knowledge of asset management and maintenance planning to guide model output.
  • Work through project tasks on an async schedule without a minimum hour requirement.
  • Coordinate with AI research teams on project instructions and domain questions.

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 tool from this list: IBM Maximo, Oracle OMS, AVEVA PI, or ArcGIS.
  • Strong written communication skills and close attention to detail.
  • Ability to work on an async schedule with AI research teams.
  • Comfort reviewing AI-generated content for technical accuracy and relevance.
  • No 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 AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

Up to $85/hr

Taken from the listing itself.

Typical pay · estimated

$68/hour

Median of 1,175 similar roles that publish pay · 299 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $38–$92 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Required skills

Asset ManagementMaintenance PlanningMaintenance ReliabilityGrid OperationsOutage CoordinationDistribution OperationsReliability EngineeringMaximoOmsAveva PiArcgisEnergy IndustryAI Response EvaluationTechnical Writing

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Handshake AI’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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