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Electrical Engineering Problem Author (Python Required)

Create original, Python-solved electrical engineering problems and verified solutions for AI training. Requires an EE degree, 2+ years of professional or teaching experience, strong Python with NumPy/SciPy/Pandas, and clear reproducible documentation.

OpenTrain AI

Coding & Software

100% Remote Hourly · $15–$50/hr

$15–$50/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Mar 29, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect subject-matter experts with projects that shape how state-of-the-art AI systems behave, offering flexible remote work and a path to grow in the fast-moving AI training industry.

About AI training and this work

AI models learn from examples crafted and reviewed by people. This project focuses on creating high-quality textual engineering problems and verified solutions that will be used for training and evaluating models (text generation, evaluation rating, and fine-tuning). Contributors directly influence model accuracy and reliability in technical domains.

The role

You will author original, real-world electrical engineering problems and produce reproducible solutions solved and checked using Python-based scientific libraries. Problems should span system design, optimization, control, power systems, and related EE domains, and include realistic constraints and workflows.

  • Create prompts and step-by-step solutions for computational EE problems.
  • Implement and verify solutions in Python using NumPy, SciPy, Pandas, or similar libraries.
  • Document code and reasoning so solutions are clear, detailed, and reproducible.

What you'll do day-to-day

Work part-time as a contractor (less than 20 hours/week) to deliver problem sets, runnable Python code, and written solution explanations. Tasks include drafting problem statements, coding numerical solutions, testing edge cases, and preparing text meant for model training and evaluation.

  • Design problems that reflect realistic engineering scenarios and constraints.
  • Write and run Python code to compute solutions; include reproducible examples and explanations.
  • Verify numerical correctness and document assumptions, units, and parameter ranges.
  • Prepare evaluation rubrics or reference ratings where required for model assessment.

Requirements

All requirements below are mandatory unless listed as a plus — candidates must be able to show proof (CV, certificates, or samples).

  • Bachelor’s degree or higher in Electrical Engineering or a closely related field.
  • Minimum 2 years of professional, research, or teaching experience in electrical engineering domains.
  • Strong proficiency with Python for mathematics and engineering, including NumPy, SciPy, and Pandas.
  • Fluency in English at C1 or higher; clear technical writing and documentation skills.
  • Ability to provide an English CV with contact information and evidence of language proficiency.
  • Hands-on experience with text annotation or review (for model-aligned wording and evaluation) is required.

Preferred qualifications

These skills are not required but will make your application stronger.

  • Experience with MATLAB, R, C, or SQL and domain-specific engineering libraries.
  • Professional certifications, publications, or international teaching/research experience.
  • Prior contributions to educational materials, problem sets, or technical documentation.

Project details, pay, and commitment

This is a part-time contractor role (contractor, part_time) with flexible scheduling and remote work. Typical engagement is under 20 hours per week. Work centers on TEXT outputs for tasks labeled as TEXT_GENERATION, EVALUATION_RATING, and FINE_TUNING; labeling software is listed as OTHER.

  • Payment type: hourly (PAY_PER_HOUR).
  • Typical hourly rate shown: USD 40/hr (range USD 15–50/hr).
  • Employment: Contractor, Part-time; time commitment: Less than 20 hours/week.

How to apply and important location restrictions

To apply, submit an English CV with contact details and examples or links to technical problem sets, reproducible code, or teaching materials. Include a short note describing your Python numerical workflow and one sample problem + solution (Python).

Note: contributors cannot be acquired from certain countries or territories listed below; please verify eligibility before applying.

  • Restricted locations include: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine; Switzerland; China, Taiwan; Kenya; many listed territories and islands; and these U.S. states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana,
  • Applicants worldwide otherwise are welcome; ensure you can legally contract as a remote worker and provide required documentation.