Mechanical Engineer

Tanqeeb

Kuwait City

Remote

KWD 11,000 - 16,000

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. Participation is project-based, not permanent employment.

Contributors work on computational engineering problems using Python and related libraries, typically 10-20 hours per week, with compensation up to $37 per hour depending on level and pace.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python proficiency
Numerical methods
Engineering problem design

Education

Bachelors in Mechanical Engineering or related

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 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.

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