Energy Professional - Remote AI Evaluation

What You'll Do6

• Evaluate AI-generated responses about reservoir simulation, AFE preparation, meter data validation, load forecasting, emissions reporting, or renewable generation forecasting.
• Turn your daily experience with industry tools and workflows into training examples that teach models how energy work gets done.
• Critique model output for accuracy, missing context, and practical relevance.
• Flag cases where AI answers misread regulations, safety practices, or operating conditions.
• Compare model responses with real project scenarios you have handled in the field or plant.
• Write clear feedback that explains your judgment to project teams.

Requirements5

• At 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.
• Hands-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.
• Strong written communication and attention to detail.
• Ability to manage your own schedule in a remote, asynchronous setting.
• No 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