AI Training - Open Source CAD Research - Aerospace Engineers - Spain

Prolific

Madrid

Remoto

EUR 15.000 - 148.000

Tempo pieno

35 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

PayPal payments
Remote freelance work

Descrizione del lavoro

Prolific is seeking Aerospace Engineers for a task-based AI training program. Join our global, fully remote talent pool to design, validate, and iterate CAD models using open‑source tools and Python scripts, with flexible hours and PayPal payments.

Selected participants will complete a brief screener (about 10 minutes, paid at $12/hour) and, for project tasks, can earn up to $120/hour depending on complexity and deliverables.

Competenze

  • Bachelor's degree or higher in Aerospace Engineering or a closely related field.
  • Strong proficiency with open‑source CAD software (e.g., FreeCAD, KiCad, or similar).
  • Comfortable using Linux and/or Windows environments.
  • Strong analytical and problem‑solving skills with excellent attention to detail.
  • A reliable internet connection and access to a computer.

Mansioni

  • Design physical objects suitable for 3D printing using open‑source CAD software.
  • Complete engineering design tasks while your workflow, including tool usage, clicks, and design decisions, is captured to help train AI models on engineering problem‑solving.
  • Write and execute Python validation scripts to support your design workflow.
  • Examples: Fixed‑wing glider maximizing glide distance; propeller blade optimizing static thrust; rocket fin set minimizing drag while maintaining stability; drone frame minimizing weight subject to impact survival.

Conoscenze

Aerospace degree
Open-source CAD software
Linux/Windows proficiency
Analytical skills
Attention to detail

Formazione

Bachelor's degree or higher in Aerospace Engineering

Strumenti

FreeCAD
KiCad
Linux/Windows environments

Descrizione del lavoro

Open Source CAD Research - Aerospace Engineers – AI Training
About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The Opportunity

This is a task based AI Training job that allows workers to choose their schedule and how much they work - there's no fixed schedule and no minimum hours requirement.

We are seeking Aerospace Engineers to join our expert network. This project supports the development of next‑generation AI models by capturing how experienced engineers approach real‑world CAD design challenges and validation workflows.

Joining our talent pool for this project also opens the door to similar paid projects in future. Everything is fully remote and ad hoc, on a freelance basis, with full control over which projects you accept. Payments are made via PayPal.

Once you have joined the talent pool, you will be asked to complete a short screener (around 10 minutes, compensated at $12/h), and if selected for the project will be asked to take part in tasks of various complexities paying up to $120/ hour.

What You'll Bring
  • Bachelor's degree or higher in Aerospace Engineering or a closely related field
  • Strong proficiency with open‑source CAD software (e.g., FreeCAD, KiCad, or similar)
  • Comfortable using Linux and/or Windows environments
  • Strong analytical and problem‑solving skills with excellent attention to detail
  • A reliable internet connection and access to a computer
Other Skills (useful But Not Mandatory)
  • Python development experience with the ability to write and execute scripts independently
  • Experience writing validation scripts (not just using pre‑built tools)
  • Comfortable working from the command line
Tasks
  • Design physical objects suitable for 3D printing using open‑source CAD software.
  • Complete engineering design tasks while your workflow, including tool usage, clicks, and design decisions, is captured to help train AI models on engineering problem‑solving.
  • Write and execute Python validation scripts to support your design workflow.
  • Examples: Fixed‑wing glider maximizing glide distance (≤4 printed parts); propeller blade optimizing static thrust; rocket fin set minimizing drag while maintaining stability; drone frame minimizing weight subject to impact survival
  • Typical tools: XFoil, OpenFOAM, OpenRocket, JavaProp, FreeCAD

Tasks are posted individually - you'll see task details, time estimate and pay before deciding whether to take one on.

Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high‑quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

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