Hardware Expert (MSc. or PhD)

pay

Required Skills
RTL
Hardware
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.

Hardware Expert (MSc. or PhD)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

micro1 is engaging experienced Hardware Engineers to contribute to AI training projects built around complex, real-world engineering problems. In this role, you will use your technical expertise to create, solve, and evaluate engineering challenges that require sound judgment, quantitative reasoning, and reproducible answers.

We are looking for engineers who have personally owned meaningful technical work—such as taking a hardware system into production, validating a model against test data, developing a rigorous verification approach, or diagnosing a difficult failure. We value engineers who can connect first-principles reasoning with practical constraints and produce work that can be independently verified.

Scope of Work
Create technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios.
Develop clear reference solutions using engineering calculations, simulations, scripts, experimental reasoning, or other appropriate methods.
Use tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms, or equivalent engineering software to validate results when relevant.

Preferred Qualifications

Bachelor’s, Master’s, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related field.
Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
Demonstrated ownership of a substantial engineering problem—for example, a product or subsystem that reached production, a model validated against physical testing, a test system you developed, or a difficult failure you diagnosed.
Experience working with Coding Agents is a must

Process
Apply to the role and complete the screening questions.
Complete an AI interview of approximately 30 minutes.
Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply..

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

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