Hardware Expert – Remote

RemoteJobsOne; New York (NY); Remote; USD 83.000 - 165.000; Teilzeit

Zusammenfassung

RemoteJobsOne is seeking a Hardware Expert (MSc. or PhD) to work on AI training projects entirely remotely. This opportunity is open worldwide and invites candidates from many countries to contribute complex hardware engineering solutions.

You will own meaningful technical challenges, validate designs with data, and produce reproducible results. Flexible scheduling and project-based tasks reflect the remote, contractor nature of the role.

Qualifikationen

• Bachelor’s, Master’s, or PhD in Electrical/Mechanical/Mechatronics or related field.
• Significant hardware engineering experience and product development.
• Ownership of a substantial engineering problem with production or validation experience.
• Experience working with Coding Agents is a must.

Aufgaben

• Create technically rigorous, self-contained hardware problems with realistic scenarios.
• Develop reference solutions using calculations, simulations, or experiments.
• Use tools like Python, MATLAB, Simulink, SPICE, Julia, C/C++, or test automation to validate results.

Kenntnisse

Hardware engineering

Systems integration

Testing & validation

Ownership of technical work

Ausbildung

Bachelor's/Master's/PhD in EE/related

Tools

Python

MATLAB

Simulink

SPICE

C/C++

Jobbeschreibung

Hardware Expert (MSc. or PhD) – Remote (Worldwide)

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $60–$120/hr

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

We are 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.