Remote Aerospace Engineer for Flexible AI CAD Tasks

Prolific

Noordwijk

Remote

EUR 15,000 - 147,000

Full time

4 hours ago
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Benefits offered by this job

PayPal payments
Flexible hours
Work from home

Job summary

Prolific is seeking Aerospace Engineers to join our expert network for open‑source CAD tasks that train AI models. This is a fully remote, ad hoc, freelance role with flexible scheduling and payment via PayPal. You will complete screener tasks and, if selected, work on projects paying up to $120/hour.

Initial screener pays $12/hour for about 10 minutes, with subsequent tasks offering higher compensation based on complexity and project requirements.

Qualifications

  • Bachelor’s degree or higher in Aerospace Engineering or closely related field.
  • Strong proficiency with open‑source CAD software (FreeCAD, KiCad, or similar).
  • Comfortable using Linux and/or Windows environments.
  • Strong analytical and problem‑solving skills with attention to detail.

Responsibilities

  • Design physical objects suitable for 3D printing using open‑source CAD software.
  • Capture workflow and tool usage for AI training data, including design decisions.
  • Write and execute Python validation scripts to support your workflow.
  • Examples include designing fixed‑wing gliders, propeller blades, rocket fins, and drone frames with constraints.
  • Operate typical tools: XFoil, OpenFOAM, OpenRocket, JavaProp, FreeCAD.

Skills

Aerospace Engineering
CAD software
Linux/Windows
Analytical thinking
Internet access

Education

Bachelor's degree in Aerospace Engineering

Tools

FreeCAD
KiCad
OpenFOAM
OpenRocket
XFoil
JavaProp

Job description

Prolific is seeking Aerospace Engineers to join our expert network for open‑source CAD tasks that train AI models. This is a fully remote, ad hoc, freelance role with flexible scheduling and payment via PayPal. You will complete screener tasks and, if selected, work on projects paying up to $120/hour.

Initial screener pays $12/hour for about 10 minutes, with subsequent tasks offering higher compensation based on complexity and project requirements.

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