🕒 yesterday
Build production-ready AI agent capabilities, from Python infrastructure and external integrations to full-stack product features, while improving agent reliability, safety, latency, and cost.
CAD Engineer - AI Trainer
🕒 5 days ago
CAD ModellingCATIASolidworksSiemens NX
📜 Description
- Train and evaluate AI agents working in a real CAD environment on complex engineering tasks.
- Design part geometry and build reference solutions.
- Assess and judge AI agents’ attempts.
- Work alongside CFD engineers who simulate the geometry you build.
🛠️ Requirements
- A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
- 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
- An active professional CAD licence of your own (required).
- Comfortable with Python and GitHub.
- English at B2 level or above.
✨ Benefits
- Work fully remote on your own schedule with just a laptop and stable internet connection.
- Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
- Participate in performance-based bonus programs that reward high-quality work and consistent delivery.
Full job description
About the role
Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.
Requirements
- A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
- 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
- An active professional CAD licence of your own (required).
- Comfortable with Python and GitHub.
- English at B2 level or above.
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 $9 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.
Why this freelance opportunity might be a great fit for you?
- Work fully remote on your own schedule with just a laptop and stable internet connection.
- Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform.
- Participate in performance-based bonus programs that reward high-quality work and consistent delivery.
Similar jobs
Search more AI Engineer jobs
Forward Deployed Solution Engineer – Applied AI FDE
🕒 3 days ago
ServiceNow👥 10,000+ employees🏢 Computer Software
🕒 3 days ago
Build and deploy production-grade GenAI and machine-learning systems with strategic customers, translating complex business problems into secure, scalable solutions and reusable patterns for enterprise AI.
Marketing Engineer (AI Agents)
🕒 3 days ago
Cresta👥 10,000+ employees🏢 Software Development🤝 B2B🧠 AI-native
🕒 3 days ago
Own Cresta’s marketing web platform and build AI agents for marketing use cases, from architecture and marketer-facing tools to production deployment, evaluation, and feedback that informs product development.
🕒 3 days ago
Own Cresta’s web platform and marketing technology, building tools that help marketers ship independently while developing and deploying AI agents for marketing use cases.
🕒 3 days ago
Own AI evaluation systems and agent infrastructure, using production LLMs, rigorous experimentation, and scalable backend services to measure and improve the quality, reliability, and performance of AI features.