Electrical Engineer Expert

Electrical engineers to build the design and analysis scenarios frontier AI labs use to test model judgment.

AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring electrical engineers as contractors to author and grade the design and analysis scenarios those evaluations run on.

What you'll actually do

• Author realistic electrical engineering scenarios, from requirements through design review
• Write reference answers with the engineering reasoning behind each decision
• Grade model output for technical accuracy and standards compliance
• Flag designs that read plausible but would fail in practice

Who this is for

• Engineers with a degree in electrical engineering or a closely related field
• Practitioners with at least 2 years of professional electrical engineering experience
• Engineers with depth in at least one area such as power systems, embedded hardware, or circuit design
• Clear writers who can document the reasoning behind an engineering decision

Contract and pay

• $100 to $125/hr, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.
• Fully remote, fully async. No fixed hours.
• Minimum 10 hours per week, no maximum. Scale up or down week to week.
• No screen recording, no keystroke monitoring, no idle timers.
• Independent contractor. Ongoing project work rather than single task batches.

How our hiring process works

• Apply at /apply/electrical-engineer-expert. About five minutes. Resume plus a few structured questions.
• Resume review. Every application gets read against a published rubric and gets a decision.
• Written assessment. You may be asked to take a written assessment for further placement.
• Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.
• Project match. You're matched to live work in your specialty, usually within a week of onboarding. About AfterQuery

AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates.