Mechanical Engineer & Python Expert - Freelance AI Trainer

Mindrift; Virginia (MN); On-site; USD 78,419 - 111,688; Part time

Job summary

Mindrift is seeking engineers to design computational problems for testing AI systems. Candidates should have a degree in Mechanical Engineering or a related field, along with strong Python skills. The role is part-time, project-based, requiring approximately 10-20 hours weekly. Contributors earn up to $69 per hour depending on contribution level. Ideal candidates will also exhibit strong written English and have relevant professional experience and certifications. This is a unique chance to work on practical engineering challenges.

Qualifications

• 2+ years of professional experience in applied, research, or teaching.
• Professional certifications (e.g., CMME, SAS Certifications, CAP) are an advantage.
• Contributors should be open to part-time, non-permanent projects.

Responsibilities

• Design computational engineering problems simulating real workflows.
• Create Python problems for engineering calculations and simulations.
• Document problem statements clearly and ensure verified solutions.

Skills

Python proficiency for numerical validation

Understanding of practical engineering constraints

Strong written English (C1+)

Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy

Education

Degree in Mechanical Engineering or related fields

Tools

Python

MATLAB

R

SQL

Stata

Job description

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

• 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 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;
• 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.