Electrical Engineering Problem Author (Python Required)

About OpenTrain AI

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with projects that teach and shape state-of-the-art AI systems.

OpenTrain AI is the hiring and contracting organization for this role. Creating an OpenTrain account is free and opens opportunities to build a profile, apply, and grow a career in AI training.

About AI training work in this role

AI training is the human side of building intelligent systems: people create, review, and validate the data models learn from. In this role you'll produce high-quality, reproducible engineering problems and solutions that help train and evaluate models that reason about electrical engineering.

This work is remote, flexible, and accessible to contributors who meet the technical requirements; it is also a way to influence how engineering-focused AI systems interpret and solve practical problems.

The role

You will create and verify original computational problems in electrical engineering: author both the problem prompt and a complete, reproducible solution implemented using Python scientific libraries. Problems should reflect realistic constraints and engineering workflows across system design, optimization, control, and power systems.

Engagement is contractor, part-time, and expected to be less than 20 hours per week. Work is paid hourly (USD) with a stated rate range.

• Data type: text—problem prompts, solution explanations, and code snippets.
• Label types associated: text generation, evaluation/rating, and fine-tuning artifacts.

What you'll do

• Author original problem prompts that represent realistic engineering scenarios with clear assumptions and constraints.
• Solve problems using Python and scientific libraries (NumPy, SciPy, Pandas) with well-documented, reproducible code.
• Produce clear, detailed written solutions and explanations so others can reproduce and validate results.
• Verify and check solutions for correctness, edge cases, numerical stability, and realistic engineering limits.
• Cover varied EE domains such as system design, optimization, control theory, and power systems, using industry-relevant workflows.

Requirements

• Bachelor’s degree or higher in Electrical Engineering or a closely related field (required).
• Minimum 2 years of professional, research, or teaching experience in electrical engineering topics.
• Strong proficiency with Python for mathematics and engineering and experience with scientific libraries (NumPy, SciPy, Pandas).
• Fluent English at C1+ level and able to provide an English CV with contact information and language proficiency evidence.
• Hands-on text annotation or review experience is required.
• Contractors cannot be located in the following countries and territories: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine.
• Also restricted: Switzerland; China; Taiwan; Kenya; many subnational and remote territories and certain U.S. states (see full restrictions).

Preferred qualifications

• Experience with MATLAB, R, C, or SQL and domain-specific engineering libraries is a plus.
• Professional certifications, international experience, or teaching roles in EE are helpful.
• Prior experience producing reproducible computational notebooks, technical writeups, or annotated datasets is desirable.

Compensation, schedule, and how to apply

Pay: hourly, USD. Typical rate listed with this role is $40/hr; posted range is $15–$50/hr. Employment is contractor, part-time, and expected to be under 20 hours/week.

To apply, submit an English CV with contact details and language proficiency. Qualified candidates will be contacted with next steps; OpenTrain AI manages contracting and payment.