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Electrical Engineering Python AI Training Contributor

Use electrical engineering expertise and Python to create, solve, and verify realistic computational problems for AI training. This flexible contractor role requires a relevant degree, strong English, and at least two years of experience.

OpenTrain AI

Coding & Software

100% Remote Hourly · $15–$50/hr

$15–$50/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Mar 29, 2026

Posted

Open worldwide

Interested in this role?

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About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build their profiles, and apply in minutes. Creating an OpenTrain account is free.

  • Remote contract opportunity
  • Part-time schedule of less than 20 hours per week
  • Intermediate experience level
  • Hourly pay listed at $40 USD, with a stated range of $15 to $50 USD

About AI Training Work

AI training is the human side of building artificial intelligence. Contributors create and review high-quality examples that help AI systems generate useful answers, reason through technical problems, and follow detailed instructions.

In this role, your electrical engineering knowledge and computational work will help shape how AI handles realistic engineering scenarios. It is part of a fast-growing field that offers remote, flexible ways to contribute to cutting-edge technology.

  • Create original technical examples for AI systems
  • Evaluate and improve model-training content
  • Use domain expertise to make solutions accurate and reproducible

The Role

As an Electrical Engineering Python AI Training Contributor, you will create and verify original computational problems in electrical engineering. You will author both the problem prompt and its solution, representing realistic scenarios, constraints, and engineering workflows.

Problems may cover system design, optimization, control, power systems, and other electrical engineering domains. Solutions must be solved and checked with Python-based scientific libraries, with documentation that is clear, detailed, and reproducible.

  • Focus area: electrical engineering computation and simulation
  • Data format: text
  • Work types include text generation, evaluation and rating, and fine-tuning data creation
  • Contractor and part-time engagement
  • Less than 20 hours per week

What You'll Do

You will turn practical electrical engineering concepts into well-structured computational tasks that can be used in AI training. Each submission should communicate the engineering scenario clearly, apply realistic constraints, and demonstrate a dependable solution workflow.

  • Design original computational problems in electrical engineering
  • Write complete prompts and corresponding solutions
  • Use Python with NumPy, SciPy, Pandas, and other suitable scientific libraries
  • Solve and verify engineering problems computationally
  • Cover varied topics such as system design, optimization, control, and power systems
  • Document methods, assumptions, calculations, and results clearly
  • Make solution steps reproducible for reviewers and future users
  • Review or annotate technical text when required

Requirements

This is an intermediate-level opportunity for applicants with substantial electrical engineering knowledge and practical experience creating or teaching technical solutions. You must be able to provide an English-language CV with contact information and language proficiency details.

  • Bachelor's degree or higher in electrical engineering or a closely related field
  • At least two years of professional, research, or teaching experience in relevant electrical engineering topics
  • Strong proficiency in Python for mathematics and engineering
  • Strong proficiency with scientific libraries including NumPy, SciPy, and Pandas
  • English fluency at C1 level or higher
  • Ability to provide an English CV with contact information and language proficiency
  • Hands-on text annotation or review experience is required
  • Knowledge of MATLAB, R, C, SQL, or domain-specific libraries is helpful
  • Professional certifications and international experience are a plus

Location Eligibility

The opportunity is described as worldwide, subject to the listed acquisition restrictions. Applicants should confirm their location eligibility before applying.

  • Restricted: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, and Kenya
  • Restricted U.S. states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, and West Virginia
  • Restricted territories and locations: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe

How to Apply

Create a free OpenTrain account, build your contributor profile, and submit your application in minutes. Highlight your electrical engineering degree, Python and scientific-computing experience, relevant professional or teaching work, and any additional tools or certifications you use.

  • Prepare an English CV with contact information and language proficiency
  • Showcase relevant electrical engineering and computational experience
  • Apply through OpenTrain for consideration

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