Hardware Engineering AI Training Expert

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. is offering a fully remote, part-time contractor role focused on creating challenging hardware engineering problems based on realistic industry or research scenarios.

You will develop reference solutions and assess the soundness, reproducibility, and independent verifiability of each problem and solution. You will solve problems using engineering calculations, simulations, scripts, or experimental reasoning, and you will often employ Python, MATLAB, Simulink, SPICE, Julia, and

Qualifications

• Fluent English required, strong communication skills.
• Significant hardware engineering experience and product development background.
• Ability to produce quantitative, independently verifiable work.
• Education preferred: bachelor’s/master’s/PhD in a related field.

Responsibilities

• Create self-contained hardware engineering challenges with real-world constraints.
• Develop reference solutions and assess soundness, reproducibility, and verifiability.
• Solve problems using calculations, simulations, or experimental reasoning.
• Use Python, MATLAB, Simulink, SPICE, Julia, or C/C++ to validate results.

Skills

Fluent English

Hardware engineering

Independent verification

Quantitative reasoning

Education

Bachelor's/Master's/PhD in a related field

Tools

Python

MATLAB

Simulink

SPICE

Julia

C/C++

Job description

The work

You will create challenging hardware engineering problems based on realistic industry or research scenarios. You will also develop reference solutions and assess whether each problem and solution is technically sound, reproducible, and independently verifiable.

• Create self-contained engineering challenges with realistic product, system, testing, and reliability constraints.
• Solve problems using engineering calculations, simulations, scripts, experimental reasoning, or other suitable methods.
• Use Python, MATLAB, Simulink, SPICE, Julia, C/C++, and test automation platforms when they help validate results.
• Connect first-principles reasoning with practical engineering decisions and measurable results.
• Evaluate technical work for clarity, sound reasoning, reproducibility, and independent verification.

What it pays and takes

This is a fully remote, part-time contractor role with flexible scheduling, including weekends if desired. The structured experience level is entry level, and the role also requires the technical background and ownership described below.

• Pay: $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Schedule: Approximately 15 hours per week, with fewer than 20 hours per week required.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Language: Fluent English is required.
• Experience: Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis.
• Education: A bachelor's, master's, or PhD in electrical engineering, mechanical engineering, mechatronics, aerospace engineering, systems engineering, applied physics, or a related field is preferred.
• Technical ownership: Experience owning substantial technical work, such as a product or subsystem that reached production, a model validated against physical testing, a test system you developed, or a difficult failure you diagnosed.
• Required working style: Experience with coding agents and the ability to produce clear, quantitative, and independently verifiable technical work.
• Helpful tools: Python, MATLAB, Simulink, SPICE, Julia, C/C++, simulation, experimental reasoning, and test automation.

About AI training work

AI training work uses human-created examples, evaluations, and feedback to improve how artificial intelligence systems perform. People with strong engineering knowledge are paid to create and review difficult technical examples that help models produce more reliable results.