Energy Expert

$75/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Engineering

Create realistic energy-sector problems, analyze production, load, outage and cost data, and assess AI-generated work for professional errors. This remote, part-time role is intended for experienced engineers and analysts from utilities, oil and gas companies, or power producers.

The work

You will turn situations from your own energy-sector practice into realistic tasks for AI models. Day-to-day assignments may involve building or reviewing spreadsheets, working through production, load, outage and cost data, and identifying errors that an experienced engineer or analyst would catch. Relevant backgrounds include utilities, oil and gas companies, and power producers, with preference for experience in reservoir engineering, production, power systems, transmission planning, renewables, or energy trading analysis.

What the screening is likely to assess

Expect an AI-led screen to verify at least five years of relevant professional experience, a bachelor's degree or higher, and hands-on spreadsheet work. It may follow up on a specific project to test whether you can explain data sources, assumptions, calculations, operational constraints, and quality checks in strong written English. A Professional Engineer license is preferred, not required.

Practical details

The work is fully remote, part time, and scheduled flexibly. Projects are paid hourly, and the volume and timing of assignments may vary, so candidates should be ready to state realistic weekly availability and any constraints on accepting project work.

Pay band: $75/hr

What they look for

Five or more years of professional experience as an engineer or analyst at a utility, oil and gas company, or power producer
Bachelor's degree or higher
Hands-on experience building and maintaining spreadsheets for professional energy work
Analysis of production, load, outage, or cost data
Professional written English
Ability to detect technical and analytical errors in AI-generated work

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies the required experience length and whether the work was performed at a utility, oil and gas company, or power producer rather than in an academic or entry-level setting.
A strong answer: Give a chronological account with role titles, employer types, dates, and concrete ownership of production, load, outage, cost, or related operational analysis. Make it easy to distinguish your own responsibilities from those of the wider team.
Where people lose it: Candidates lose points when they provide a broad energy biography without dates, employer context, or enough detail to verify five years of qualifying professional work.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.