AI summary
Freelance, project-based AI trainer role creating and validating computational electrical engineering problems that require Python-based numerical methods and simulations. Mindrift connects domain specialists with leading tech companies to test, evaluate, and improve AI systems. Standout perk: earn up to $69/hour equivalent with flexible 10–20 hours/week during active phases.
Key skills
Electrical engineering degree (or related)PythonNumPyPandasSciPyNumerical methods / iterative solutionsEngineering calculations and simulationsSystem design, optimization and analysisTechnical writing in English (C1+)
Salary not listed, but compensation is up to $69 per hour equivalent depending on level and pace of contribution.
You'll thrive here if you’re an electrical engineer who enjoys turning real-world engineering workflows into computational problems and validating solutions in Python with clear written documentation.
Why apply
- Up to $69/hour equivalent
- Project-based, part-time flexibility
- Work on AI system improvement
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.
What this opportunity involves
While each project involves unique tasks, contributors may:
Design original computational engineering problems that simulate real engineering workflows;
Create problems requiring Python programming to solve engineering calculations and simulations;
Ensure problems are computationally intensive and require numerical methods or iterative solutions;
Develop problems involving system design, optimization, and analysis;
Base problems on real research challenges or practical applications from engineering practice;
Verify solutions using Python with standard engineering libraries;
Document problem statements clearly and provide verified correct answers.
What we look for
This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
Degree in Electrical Engineering or related fields;
Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
2+ years of professional experience: applied, research, or teaching experience is applicable;
Understanding of practical engineering constraints and approximations;
Strong written English (C1+);
Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.