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.
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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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
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