Remote Hardware Engineer for AI Training Projects

Zekai; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Zekai is seeking a Hardware Expert (MSc or PhD) for global, fully remote engagement. This contractor role is ~15 hours per week with pay per task, at $60-$120/hour.

You will tackle AI training projects by designing hardware problems, validating models with test data, and developing robust verification approaches. Applicants should have hands-on ownership of hardware developments, from production-ready subsystems to rigorous testing.

Qualifications

• Bachelor's, Master's, or PhD in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or related field.
• Significant hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis experience.
• Demonstrated ownership of a substantial engineering problem—production-ready product or subsystem, model validated with testing, or complex failure diagnosed.
• Experience working with Coding Agents is a must.

Responsibilities

• Create technically rigorous, self-contained hardware engineering problems based on realistic industry or research scenarios.
• Develop clear reference solutions using calculations, simulations, scripts, experimental reasoning, or other methods.
• Use Python, MATLAB, Simulink, SPICE, Julia, C/C++, test automation platforms to validate results.

Skills

Hardware engineering experience

Systems integration

Testing & validation

Reliability analysis

Failure analysis

Ownership of engineering problem

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Test automation

Education

Electrical Engineering degree

Mechanical Engineering degree

Mechatronics degree

Systems Engineering degree

Applied Physics degree

Tools

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Test automation platforms

Job description

Zekai is seeking a Hardware Expert (MSc or PhD) for global, fully remote engagement. This contractor role is ~15 hours per week with pay per task, at $60-$120/hour.

You will tackle AI training projects by designing hardware problems, validating models with test data, and developing robust verification approaches. Applicants should have hands-on ownership of hardware developments, from production-ready subsystems to rigorous testing.