Remote | CAD Data Generation & Validation Specialist (FreeCAD) — $40–$100/hour

24-Mag•New York, NY

23h•$40 - $100•Remote

About The Position

We are sharing a specialised consulting opportunity for experienced CAD Data Generation & Validation Specialists with strong expertise in FreeCAD, Python, parametric modelling, mechanical design, CAD validation, GD&T, manufacturing processes, and engineering documentation to contribute to an advanced AI training and engineering-data project. Selected professionals will create, edit, validate, and document high-quality parametric CAD models used in AI training datasets, with a strong focus on geometric accuracy, engineering best practices, reproducibility, and manufacturing relevance. The work combines CAD generation, quality assurance, technical documentation, and optional Python-based automation.

Requirements

2+ years of experience in mechanical design, CAD modelling, manufacturing, industrial engineering, or a closely related field
Strong hands-on experience with FreeCAD or equivalent parametric CAD software
Demonstrated expertise in parametric modelling and mechanical design
Strong understanding of engineering best practices
Experience with CAD validation and quality-assurance workflows
Practical knowledge of GD&T and its application to real-world manufacturing scenarios
Familiarity with industrial-engineering principles and common manufacturing processes
Experience preparing detailed engineering documentation
Strong attention to detail and commitment to geometric accuracy
Ability to incorporate feedback and revisions efficiently

Nice To Haves

Python scripting experience is advantageous, particularly for CAD automation or parametrisation

Responsibilities

Create precise parametric CAD models using FreeCAD
Develop mechanical parts, assemblies, and reusable geometric features
Apply robust modelling practices that preserve design intent
Maintain geometric accuracy across complex model structures
Build diverse CAD assets suitable for dataset development and AI training
Review CAD models for dimensional, geometric, and structural accuracy
Identify discrepancies, modelling errors, or incomplete design information
Validate models against engineering requirements and best practices
Correct issues while preserving intended functionality and parametric behaviour
Maintain consistent quality standards across large collections of CAD data
Apply Geometric Dimensioning & Tolerancing principles to mechanical models
Ensure CAD outputs reflect real-world manufacturing standards
Review dimensional relationships, tolerances, and geometric controls
Identify design elements that may conflict with manufacturing or inspection requirements
Apply engineering judgement to maintain realistic and production-relevant model data
Apply mechanical-design principles when developing and reviewing components
Consider common manufacturing methods when evaluating geometry and tolerances
Incorporate industrial-engineering and manufacturability considerations where relevant
Ensure models are representative of realistic engineering applications
Support creation of technically diverse datasets spanning multiple mechanical-design scenarios
Optionally use Python to automate repetitive CAD modelling or validation tasks
Enhance model parametrisation through scripting where appropriate
Develop reproducible workflows that improve modelling efficiency
Support scalable dataset generation through technical automation
Apply scripting to increase variation, consistency, and richness across CAD assets
Document modelling workflows, assumptions, and design decisions clearly
Maintain detailed engineering documentation for validation and dataset traceability
Record revisions and quality-assurance findings consistently
Ensure modelling processes can be reproduced by other technical contributors
Communicate complex engineering information clearly to both technical and non-technical audiences