Mechanical Engineer & Python Expert – Freelance AI Trainer

Mindrift

North Carolina

On-site

USD 56,481 - 95,054

Part time

14 days+

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Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Contributors work on tasks involving Python programming for engineering calculations and simulations, with emphasis on numerical validation and documentation of results.

This role is part-time, non-permanent, project-based work, suitable for engineers with 2+ years of experience and a Mechanical Engineering background.

Qualifications

  • This role requires a degree in Mechanical Engineering or related fields.
  • Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or equivalent.
  • 2+ years of professional experience in applied, research, or teaching contexts.
  • Understanding of practical engineering constraints and approximations.
  • Strong written English (C1+).
  • Certifications (e.g., CMME, SAS, CAP) and international/apply project experience are advantageous.

Responsibilities

  • Design original computational engineering problems simulating real engineering workflows.
  • Create problems requiring Python programming for engineering calculations.
  • 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.
  • Document problem statements clearly and provide verified correct answers.

Skills

Python programming
Numerical methods
Engineering calculations
English writing
MATLAB
R
SQL
NumPy
Pandas
SciPy
2+ years experience

Education

Mechanical Engineering degree

Tools

MATLAB
R
C
SQL
NumPy
Pandas
SciPy

Job description

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 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
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.

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