KiCad PCB Design Specialist

Pay: $65 - $123/hour

Required Skills
KiCad
PCB Design
Schematic Capture
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: KiCad PCB Design Specialist

Role Type: Contractor

Location: Remote

micro1 is looking for experienced KiCad specialists to support an AI training project. In this role, you will use KiCad to complete real-world PCB design and electronic circuit tasks and explain your workflows step by step. Your expertise will help improve how AI systems understand electronics engineering.

Scope of Work

Create and modify PCB designs and circuit schematics using KiCad.
Work with component placement, PCB routing, and multi-layer boards.
Perform design rule checks (DRC) and troubleshoot PCB design issues.
Generate Gerber files and other manufacturing outputs.
Complete advanced KiCad tasks and explain your workflows step by step.
Create clear instructions and detailed prompts for PCB design workflows.

Requirements

Strong professional hands-on experience using KiCad.
Experience with PCB layout, schematic capture, and electronic circuit design.
Good understanding of component placement, routing, and PCB design rules.
Ability to create and review complex PCB designs.
Access to KiCad and ability to record your screen while completing tasks.
English proficiency at B2 level or higher.
Ability to explain technical workflows clearly.

Preferred Qualifications

A relevant master's degree or PhD in Electrical or Electronics Engineering.
Previous Human Data experience, such as data annotation, RLHF, or AI model evaluation.
Experience with multi-layer PCB design and manufacturing processes.
Professional experience in electronics or hardware engineering.
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