Energy Professional - Remote AI Evaluation
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires energy specialists for project-based AI work, not a permanent role. You bring hands-on experience from oil and gas, power generation, utilities, renewables, or energy compliance and use it to judge AI-generated content. The job centers on reviewing model answers for accuracy and relevance, then explaining how real energy workflows operate in practice. No AI background is required. Work happens remote on an asynchronous schedule, with most contributors logging around 5 to 20 hours each week while a project is active.
What You'll Do6
- 1Evaluate AI-generated responses about reservoir simulation, AFE preparation, meter data validation, load forecasting, emissions reporting, or renewable generation forecasting.
- 2Turn your daily experience with industry tools and workflows into training examples that teach models how energy work gets done.
- 3Critique model output for accuracy, missing context, and practical relevance.
- 4Flag cases where AI answers misread regulations, safety practices, or operating conditions.
- 5Compare model responses with real project scenarios you have handled in the field or plant.
- 6Write clear feedback that explains your judgment to project teams.
Requirements5
- 1At least four years in the energy industry, including roles such as reservoir engineer, drilling engineer, production engineer, petrophysicist, reserves analyst, plant performance engineer, reliability engineer, plant operator, control room operator, shift supervisor, meter data analyst, meter technician, utility technician, utility maintenance worker, billing analyst, regulatory analyst, FERC reporting analyst, rate case analyst, renewable generation analyst, REC trader, solar design engineer, interconnection specialist, EHS specialist, process safety engineer, NERC CIP analyst, environmental analyst, power market analyst, load forecasting analyst, PPA analyst, electrician, electrical technician, or field service technician.
- 2Hands-on experience with at least one workflow such as reservoir simulation, AFE preparation, meter data validation, load forecasting, emissions reporting, predictive maintenance, regulatory rate case filing, or renewable generation forecasting.
- 3Strong written communication and attention to detail.
- 4Ability to manage your own schedule in a remote, asynchronous setting.
- 5No prior AI experience needed.
Who Should Apply
The best fit is an energy professional with at least four years in the field and direct exposure to workflows like reservoir simulation, meter data validation, load forecasting, or FERC reporting. You can explain technical decisions in writing and work on your own schedule without needing a manager to assign tasks. This role suits people who enjoy comparing real industry practice against AI output. The role fits poorly with candidates who have fewer than four years in energy, those who have only broad industry awareness, or people who need fixed hours and close supervision. Applications often score low when they list general energy knowledge but no specific tools, and when written samples lack detail about accuracy, context, or operating conditions.
Salary Insight
Compensation reaches $80.00 per hour for this fellowship, with the exact rate set by the project and your background. That figure sits at the expert end of project-based AI evaluation work, which matches the four or more years of energy experience the project requests. Because hours are flexible and most contributors work 5 to 20 hours each week during active projects, total earnings shift with your availability and project demand.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
up to $80/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 602 similar roles that publish pay · 100 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation7%
- data annotation6%
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Compensation
Up to $80/hr
Required Skills
Application Tip
Name the exact energy workflows you have owned, such as reservoir simulation, AFE preparation, meter data validation, or FERC reporting, and attach a short writing sample that reviews a technical claim for accuracy. The screening favors 4+ years and concrete tool or workflow depth, so replace broad labels like 'energy professional' with specific systems, report types, and operating conditions you handled.
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