Job description

Project overview

This contract opportunity is for seasoned energy-sector professionals who want to contribute to the improvement of large language models. In this role, you will use your domain knowledge to judge AI-generated answers, build realistic business scenarios, and help create benchmark data that reflects how work is actually done across the energy industry.

The engagement is project-based and is intended for expert consultants rather than full-time employees. It is limited to U.S.-based experts and follows a 1099 consultant arrangement. Work is fully remote, and you will manage your own schedule.

Project focus

The assignment centers on creating high-quality evaluation material for AI systems used in real-world energy workflows. You will develop or curate authentic source documents, write prompts that require analysis and practical judgment, craft expert reference answers, and prepare scoring rubrics that measure accuracy, completeness, reasoning, and domain knowledge.

Subject matter may include power generation, plant operations, oil and gas, renewable energy, utilities, grid operations, transmission and distribution, energy markets, asset management, capital projects, engineering operations, regulatory compliance, operational reviews, procurement, safety and environmental programs, and executive or strategic planning.

Consultant terms

This role is not a salaried job. Compensation is handled on a per-project basis, with the stated hourly rate serving as an estimate of the time expected to complete work. Consultants are expected to use their own tools, work independently, and may continue working with other clients or employers if those arrangements allow it.

What you will do

Build realistic enterprise scenarios drawn from your energy-industry experience
Create or assemble authentic business documents such as Word, Excel, or PowerPoint materials that mirror actual workflows
Write prompts that call for document review, business reasoning, and technical decision-making
Draft expert-level reference answers
Design detailed rubrics for grading AI output on correctness, completeness, logic, and subject-matter expertise
Review outputs from leading AI systems and provide structured feedback
Spot errors, weak reasoning, unsupported claims, and missing information
Make sure all deliverables reflect practical business processes and operational standards in the energy sector

Deliverables

Enterprise source document(s)
Business prompt
Golden response
Evaluation rubric
Side-by-side assessment of AI-generated responses

Qualifications

A bachelor’s degree, or equivalent professional background, in Engineering, Energy Management, Environmental Science, Business, Operations, or a related discipline
At least 4 years of professional experience in the energy industry
Hands-on experience with enterprise documents, operational reports, engineering records, project plans, regulatory materials, or executive presentations
Strong understanding of energy-sector operations and business processes
Excellent written communication skills
The ability to review technical and business content carefully and accurately

Preferred background

Experience in electric utilities
Experience in oil and gas
Experience in renewable energy
Experience in power generation
Experience in energy storage
Experience in transmission and distribution
Experience in energy trading
Experience in grid operations
Experience in capital projects
Experience in asset management
Experience in field operations
Experience in reliability engineering
Experience in environmental compliance
Experience in regulatory affairs
Experience in energy consulting

Examples of prior work

Strategic planning documents
Operational reviews
Engineering reports
Maintenance documentation
Regulatory filings
Financial analyses
Project proposals
Risk assessments
Executive presentations

Energy AI Trainer