Mechanical Engineer & Python Expert – Freelance AI Trainer

Mindrift

Florida

Sur place

USD 56 000 - 95 000

Temps partiel

14 jours+

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Résumé du poste

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

This opportunity involves designing computational problems, solving with Python, and verifying solutions using standard libraries; tasks run about 10–20 hours per week when active.

Applicants should have a mechanical engineering degree, strong English, 2+ years of experience, and relevant certifications; remote-friendly, part-time projects.

Qualifications

  • Degree in Mechanical Engineering or related field.
  • Python proficiency for numerical validation; MATLAB, R, C, SQL, Numpy, Pandas, SciPy or related libraries may be used.
  • 2+ years of professional experience (applied, research, or teaching).
  • Understanding of practical engineering constraints.
  • Strong written English (C1+).
  • Certifications (e.g., CMME, SAS, CAP) and international project experience are a plus.

Responsabilités

  • Design original computational problems that simulate engineering workflows.
  • Create Python-based problems solving engineering calculations and simulations.
  • Ensure problems require numerical methods or iterative solutions.
  • Develop problems involving system design, optimization, and analysis.
  • Verify solutions using Python with standard engineering libraries.
  • Document statements clearly and provide verified correct answers.

Connaissances

English proficiency
2+ years experience
Mechanical Engineering degree

Formation

Mechanical Engineering degree

Outils

Python
MATLAB
R
C
SQL
Numpy
Pandas
SciPy

Description du poste

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 an experience in python open to part-time, non-permanent projects.

  • 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.

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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