# Expert - Grid & Energy Systems

**Company:** [Build](https://hotfix.jobs/companies/build-inc)
**Location:** Remote
**Role:** Other
**Salary:** $50 – $150/hr
**Experience:** 5+ years
**Skills:** Transmission Planning, Power Systems Engineering, Utility Systems, Contingency Analysis, Power Flow Studies, Scada, Pss/E, Powerworld, Matpower, Opendss
**Posted:** 2026-05-29

> As an Expert in Grid & Energy Systems, you will leverage your deep domain expertise to review, validate, and steer AI-generated work for institutional real estate teams. You will apply practitioner judgment to client problems, ensuring accuracy and improving workflow quality.

## Job Description

## About the role
The data center build-out is the defining infrastructure challenge of this decade. Every hyperscaler, every operator, every institutional developer is constrained by one thing above all others: power. Getting it, connecting it, planning around it, and moving fast enough to matter.

Build pairs agentic AI with deep domain expertise to deliver the work that used to take weeks in hours. We work with some of the largest infrastructure investors, developers, and operators in the world. Our domain experts are the reason the outputs are trusted.

"The AI does the work. The domain expert makes it right."

This role is for someone who has spent years inside the grid — not studying it, operating it. Transmission planning, real-time dispatch, SCADA, contingency analysis, power flow studies. You understand why decisions get made the way they do, and you can explain it clearly to people who are moving fast and need to get it right.

You'll review, validate, and steer AI-generated work across live client engagements. You'll help define what good judgment looks like in practice. And you'll be part of a small, high-output team doing work that actually moves the needle on how the world's most important infrastructure gets built.

## What you'll do
* Review and validate AI-generated energy systems work — contingency assessments, power flow studies, interconnection analysis, capacity planning
* Apply practitioner judgment to real client problems: what's physically feasible, what the trade-offs are, and where the AI got it wrong
* Collaborate with Build's engineering and domain teams to improve workflow accuracy and output quality over time
* Produce operational analyses, planning scenarios, and written assessments where needed
* Help articulate what "correct" looks like — the assumptions, constraints, and engineering realities that aren't in any textbook

## Domain focus
Build's grid and energy engagements span the full stack of what institutional infrastructure clients need:

* Grid planning and optimization — OPF, N-1/N-2 contingency screening, load flow studies, renewable integration
* Power availability and interconnection — site-level power assessment, grid connection feasibility, capacity analysis
* Data and process workflows — historian data, compliance documentation, audit trail interpretation
* Regulatory and standards environments — NERC CIP, TSO/ISO operating frameworks, utility compliance

Tools our clients and workflows operate around include PSS/E, PowerWorld, MATPOWER, and OpenDSS. You don't need to know all of them — but you should be comfortable with the environments they represent.

## What we're looking for
* 5+ years of hands-on experience in transmission planning, power systems engineering, or utility systems — at a TSO, ISO, or large utility
* The ability to explain why a decision is correct, not just produce it — trade-offs, constraints, physical limits
* Clear, direct written communication. Our workflows are asynchronous and our clients move fast.
* Comfort working with AI-generated outputs and improving them — not just reviewing from a distance
* Preference for flexible, contract-based engagements over traditional employment

## How it works
* Fully remote, contract-based
* Engagements vary in scope and duration — some short-term, some ongoing retainers
* Hourly rate: $75–$200 depending on experience and scope. Exceptional expertise goes higher.
* Ongoing collaborations structured as monthly retainers where volume justifies it
* Assessment: CV review and a paid work sample if there's a fit

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