Power Systems Engineer - AI Research (Canada)
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks practicing power engineers to join an ongoing, remote fellowship that improves how AI models handle power systems reasoning. You will turn real design, analysis, testing, commissioning, operations, and field experience into expert prompts and review model answers for technical accuracy, safety, and code alignment. The work covers topics such as microgrids, high-voltage substations, protection and control, and power-flow or short-circuit studies. Hours are flexible and asynchronous, with most contributors working 5 to 20 hours per week and no minimum commitment.
What You'll Do6
- 1Write expert-level power engineering problems and scenarios that come from real design, analysis, testing, commissioning, operations, and field work.
- 2Create prompts for AI models that reflect your power systems specialty.
- 3Check AI-generated answers for technical accuracy, practical feasibility, safety, and alignment with industry standards and engineering practice.
- 4Review calculations, assumptions, methods, and recommendations tied to power flow, short-circuit analysis, protection, grid stability, equipment selection, and related topics.
- 5Send structured written feedback that helps AI models improve.
- 6Set your own hours and work in a remote, async setting with no required minimum.
Requirements7
- 1Live in Canada.
- 2Bring at least 2 years of hands-on power systems engineering experience in industry.
- 3Hold an MS or PhD in electrical engineering, power engineering, or a related field. A BS in electrical engineering also qualifies with strong industry experience.
- 4Show depth in one or more areas: transmission or distribution systems; microgrids and distributed energy resources; high-voltage equipment and substations; protection, control, and relay coordination; power-flow, short-circuit, stability, or contingency analysis; grid integration of renewable energy and battery storage; power quality, grounding, or arc-flash analysis; utility operations, commissioning, or field engineering.
- 5Write with care and precision about complex power engineering concepts.
- 6Work on your own in a remote, async environment.
- 7Show strong writing and attention to detail.
Who Should Apply
Practicing power engineers with 2 or more years in transmission, distribution, microgrids, high-voltage substations, protection and control, or grid operations will fit this fellowship well. The strongest applicants hold an MS or PhD, or a BS paired with deep industry work, and can explain relay coordination, short-circuit studies, or arc-flash analysis in plain language. A PE license, work with IEEE, IEC, NERC, or NFPA standards, and tool experience in ETAP, PSS/E, PSCAD, or Python add weight. This fellowship fits people who want flexible, project-based side work rather than a full-time engineering post. Candidates outside Canada cannot proceed, and those who need a fixed schedule or guaranteed hours should look elsewhere. Candidates often score low when they list academic power systems coursework without hands-on industry projects, or when their writing samples stay vague about calculations, assumptions, and standards.
Salary Insight
Pay is $96.00 per hour. For project-based AI evaluation that requires deep power systems knowledge, this rate sits at the expert end and matches experienced engineers, including those with PE licenses or graduate degrees. The listing gives no benefits or guaranteed hours, and project availability shapes how much work you can take on.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$96/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 594 similar roles that publish pay · 95 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.
- Live similar roles
- 660
- Listed in last 30 days
- 319
- Remote
- 97%
Hiring most right now: micro1 (297) · Mercor (90) · Handshake AI (68)
Most requested skills · share of roles
- python18%
- technical writing10%
- llm evaluation7%
- ai evaluation7%
Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$96/hr
Required Skills
Application Tip
Lead your application with one or two concrete power systems projects that show your hands-on work, such as a protection and relay coordination study, a microgrid design, or a short-circuit analysis. Name the tools you used (ETAP, PSS/E, PSCAD, DIgSILENT PowerFactory, Python) and state your degree, years in industry, and any PE license or IEEE, IEC, NERC, or NFPA standards work. That detail helps reviewers see your fit fast.
See NearSkill jobs more often in your search
Application & verification flow
1Instant rubric match
Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
Similar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedPower Systems Engineer - Remote Part-Time
Handshake AI hires experienced power systems engineers for a part-time fellowship that supports AI research. The work centers on judging AI-generated answers in areas such as microgrids, high-voltage equipment, and protection and control. You design realistic engineering problems and assess calculations, assumptions, and recommendations for technical accuracy and safety. The project runs on an ongoing basis, so you set your own hours and complete tasks at your own pace.
Handshake AI
VerifiedPower Systems Engineer - Remote Part-Time
Handshake AI needs power systems and T&D engineers for part-time project work that raises how AI models handle grid and controls topics. You will apply power systems analysis, T&D planning, and industrial controls knowledge to test model output against real utility workflows. Assignments arrive on an ongoing basis, so you can keep a current engineering job while you contribute. The fellowship pays $80 per hour with no set schedule or minimum hour requirement. Engineers who use tools such as CYME, PSS/E, ETAP, or WinCC will find the tasks close to their regular work.
Handshake AI
VerifiedElectrical Engineering Expert - Remote Canada
Handshake AI hires practicing electrical and computer engineers to shape how AI models handle real engineering judgment. You will create power systems, semiconductor, or embedded/RF problems drawn from design, test, and field work, then score model answers for technical accuracy and practical feasibility. The engagement runs as a part-time fellowship with no fixed hours, so you can keep your current engineering job. Your written critiques become training signals that push the model toward the reasoning style of a working engineer.
Handshake AI
VerifiedElectrical Engineering Expert - Remote Contract
Handshake AI engages experienced electrical and computer engineers for part-time contract work that advances AI research. The project asks you to use hands-on industry knowledge in power systems, semiconductors, or embedded/RF design to judge AI output and write feedback that teaches models how a working engineer thinks. You create expert-level problems, review model answers for technical accuracy and practical feasibility, and submit structured critiques. Work runs as an ongoing project alongside your current role. Tasks follow your schedule, with no minimum hour requirement.
Handshake AI
VerifiedReliability Engineer - Remote Energy AI Project
Handshake AI seeks energy professionals to join a remote, part-time fellowship that brings real operations knowledge into AI research. You review AI-generated answers, flag errors, and craft expert training data using your own experience with plant performance, industrial operations, or energy asset management. The schedule is async, and most contributors log 5 to 20 hours per week during active projects. You do not need prior AI experience. The project runs as long as client needs continue, and strong contributors may get picked for later assignments.
Handshake AI
VerifiedEnergy Professional - Remote AI Evaluation
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.