Mechanical Engineer and Python Expert Freelance Ai Trainer

Tanqeeb; Kuwait City; Remote; KWD 9,300 - 16,000; Part time

Job summary

Mindrift offers project-based AI opportunities for engineers to design computational problems and validate solutions in Python. This freelance role emphasizes reliability, numerical methods, and clear documentation, with about 10–20 hours per week during active phases.

Applicants should have a Mechanical Engineering background and strong Python skills, with 2+ years of relevant experience. This is a non-permanent, part-time engagement across international projects.

Qualifications

• Degree in Mechanical Engineering or related fields.
• Proficient in Python for numerical validation.
• 2+ years of applied, research, or teaching experience.
• Certifications (e.g., CMME, SAS) are a plus and international/project experience is advantageous.

Responsibilities

• Design original computational engineering problems simulating real workflows.
• Create problems requiring Python programming to perform engineering calculations and simulations.
• Ensure problems are computationally intensive and use 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 and document statements.

Skills

Python programming

Education

Bachelor's degree in Mechanical Engineering or related fields

Tools

MATLAB

R

C

SQL

NumPy

Pandas

SciPy

Job description

Mechanical Engineer and Python Expert Freelance Ai Trainer

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 is project-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 experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Mechanical 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;
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

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 $37 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.