Hardware Expert (MSc. or PhD) (Remote | $60–$120/hr) Position: Hardware Expert (MSc. or PhD) Type: Contractor Compensation: $60–$120/hour (output-based) Location: Global, Fully Remote About the Opportunity Contribute hardware engineering expertise to AI training projects focused on complex, real-world engineering challenges. Create rigorous technical problems, develop reproducible reference solutions, and validate results using engineering tools and sound technical reasoning. Experience working with coding agents is required.

Key Responsibilities

Create technically rigorous hardware engineering problems based on realistic industry or research scenarios. Develop clear, reproducible reference solutions using calculations, simulations, scripts, or experimental reasoning. Validate results using appropriate engineering tools and software. Apply first-principles reasoning to practical engineering constraints. Design challenges that assess technical judgment, quantitative reasoning, and problem-solving. Ensure solutions can be independently verified.

Required Qualifications

Significant professional or research experience in hardware engineering or a related technical field. Demonstrated ownership of substantial engineering projects, testing, validation, or failure analysis. Experience working with coding agents. Strong quantitative reasoning and technical problem-solving skills. Ability to develop accurate, well-documented, and reproducible engineering solutions.

Preferred Qualifications

Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a related field. Experience in product development, systems integration, reliability, testing, or validation. Experience taking hardware products or subsystems into production. Familiarity with tools such as Python, MATLAB, Simulink, SPICE, Julia, C/C++, or test automation platforms. Compensation $60–$120/hour, with payment based on completed tasks that meet project specifications. Expected commitment: approximately 15 hours per week. Flexible schedule, including weekends if desired. Minimum task submission requirements apply. 10 openings available. Application Process Apply for the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Proceed to hiring manager review. If selected, complete onboarding and begin your first task within 24–48 hours.