Hardware Expert (MSc. or PhD)
micro1Legit · not rated yetPosted 10 days ago
Pay: $60–120/hr
- Who can apply
- Countries not stated in the listing
- Hours
- 15 hrs/week · Freelance
- Where
- Remote, work from home
- Job type
- Expert (SME) review
- Openings
- 10 openings
At a glance: A freelance, remote expert (SME) review job with micro1. It pays $60–120/hr for 15 hours a week. The listing doesn't say which countries can apply.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
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What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 80% of the 204 other science (PhD) jobs on the board that state pay; 15% pay more.
- This job
- $90/hrMiddle of $60–120/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in science (PhD)
- $65/hrFrom 204 other paid jobs
Requirements
- Qualifications
- RTL
- Hardware
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
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.
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- (10 days ago)
- Last checked
- Source
- micro1
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