About the job
We invite you to submit your CV in English, including your level of English proficiency.
Mindrift connects talented specialists with project-based AI opportunities in collaboration with leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis rather than permanent employment.
Opportunity Overview:
Each project encompasses a variety of unique tasks, and contributors may be involved in:
- Creating original computational engineering challenges that replicate realistic engineering workflows;
- Formulating problems that necessitate Python programming for engineering calculations and simulations;
- Ensuring that problems are computationally intensive and require numerical methods or iterative solutions;
- Developing issues centered around system design, optimization, and analysis;
- Grounding problems in authentic research challenges or practical engineering applications;
- Validating solutions using Python along with recognized engineering libraries;
- Clearly documenting problem statements and providing verified solutions.
Ideal Candidate Profile:
This role suits engineers with experience in Python who are open to part-time, non-permanent projects. The preferred qualifications include:
- A degree in Electrical Engineering or a related field;
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming languages;
- At least 2 years of professional experience in applied, research, or teaching roles;
- A good grasp of practical engineering constraints and approximations;
- Excellent written English skills (C1+);
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.
How to Participate:
Apply → Meet qualifications → Join a project → Complete assigned tasks → Receive compensation.
Project Time Commitment:
Tasks are anticipated to require approximately 10-20 hours per week during active project phases, based on specific project demands. This is an estimate and not a guaranteed workload.
Compensation:
On this project, contributors have the potential to earn up to $23 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise.

