
Electrical Circuit Design Expert for AI-Driven Projects
Listing checked September 4, 2026 · pay as published by Micro1
Overview
Remote contractor role focused on advancing AI-enabled electrical engineering tasks. You’ll apply deep circuit know-how across analog, digital, mixed-signal, power, and RF domains to shape how models learn and reason about real-world design problems. The work centers on solving complex circuits, evaluating AI-generated technical inputs, and contributing clear, actionable feedback to improve AI performance. Strong communication and precise technical judgment are essential as you collaborate with a distributed team.
What You'll Do6
- 1Evaluate advanced circuit designs and troubleshoot issues across analog, digital, mixed-signal, power, and RF domains.
- 2Assess AI-generated technical responses for accuracy and engineering quality.
- 3Apply practical engineering judgment to real‑world design scenarios and theoretical questions.
- 4Use techniques like Kirchhoff's laws, node-voltage analysis, small-signal analysis, and phasor analysis to diagnose circuits.
- 5Provide domain expertise to guide model improvements and refine AI reasoning in electrical design.
- 6Document feedback with clear written and verbal explanations to aid learning and performance.
Requirements6
- 1MS or PhD in Electrical Engineering, or a BS with 8+ years of relevant industry experience.
- 2At least 5 years hands-on experience in analog, digital, mixed-signal, power, or RF circuit design with production or tape-out exposure.
- 3Strong knowledge of analog/mixed-signal design, digital logic, semiconductor devices, power electronics, RF/microwave systems, and control theory.
- 4Proven ability to analyze circuits using Thevenin equivalents, Hybrid-π models, FSMs, and timing analysis.
- 5Familiarity with EMC, semiconductor reliability concerns, and modern CMOS scaling.
- 6Excellent written and spoken English communication.
Who Should Apply
The ideal candidate brings deep hands-on circuit design across multiple domains and can translate complex concepts into precise feedback for AI systems. This role suits engineers with production or tape-out experience who excel at documenting technical reasoning. It is less suitable for those without a strong background in analog, digital, or RF circuits or for candidates who struggle with remote collaboration. Common fit issues include limited experience with mixed-signal design or lacking familiarity with industry-standard analysis methods such as Thevenin or small‑signal modeling.
Salary Insight
Pay is task-based and detailed pay per task is provided; the source specifies a contractor rate of $60 - $130 per hour but compensation is output-based rather than a fixed hourly rate. Pay discussions occur during onboarding based on completed tasks.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$60–$130/hr
Most AI Training roles pay $43–$98 per hour. This role's pay falls inside that range.
Based on 1,117 similar roles that publish pay · 304 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
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- Listed in last 30 days
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Hiring most right now: micro1 (374) · SME Careers (255) · Mercor (169)
Most requested skills · share of roles
- ai training13%
- llm evaluation11%
- ai evaluation11%
- data annotation9%
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Compensation
$60–130/hr
Required Skills
Application Tip
Highlight a verified tape-out, production hardware experience, or a concrete prediction/modeling result in analog/digital/RF; cite a specific tool or method (e.g., Cadence/HDL, Thevenin analysis, or small-signal modeling) and quantify impact (e.g., reduced mismatch by X%).
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