Role Overview
We are looking for a freelance Electrical Engineer proficient in Python to develop and validate computational engineering challenges used in AI training. This role supports the development of intelligent systems by creating realistic, code-driven engineering problems that reflect actual industry workflows.
Key Responsibilities
- Design original, computation-heavy engineering problems that require Python-based solutions
- Incorporate numerical methods, iterative algorithms, and simulation techniques into problem design
- Ensure tasks reflect practical engineering constraints and real-world design challenges
- Validate correct solutions using Python and standard scientific computing libraries
- Write clear, well-structured problem statements with verified reference answers
- Base scenarios on authentic research or applied engineering use cases
Qualifications
Applicants must hold a degree in Electrical Engineering or a closely related field and demonstrate strong proficiency in Python for numerical computation and validation. Minimum of two years of professional, academic, or teaching experience in engineering contexts is required.
Fluency in written English (C1 or higher) is essential. Candidates should understand real-world engineering approximations, system modeling, and performance trade-offs.
Preferred Skills
- Professional certifications such as CMME, CAP, or SAS
- Experience with MATLAB, R, C, SQL, Stata, or equivalent data and simulation tools
- Familiarity with Numpy, Pandas, SciPy, or domain-specific Python libraries
- Background in international projects or applied research settings
Work & Compensation
This is a freelance, project-based position with no fixed schedule. Workload fluctuates, averaging 10–20 hours weekly during active phases. Compensation is project-dependent, starting at $50 per hour equivalent, with rates adjusted based on scope, complexity, and required expertise. Tasks are accessible globally, with flexible participation options.
You’ll contribute to AI training initiatives with technology partners, gaining exposure to advanced engineering problems and real-world research applications.
