Parametric CAD Data Generation and Validation Specialist

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors discover cutting-edge projects, build a professional profile, and grow long-term experience in a fast-expanding technology industry.

• Remote opportunity open worldwide
• Contractor and part-time engagement
• 20+ hours per week
• Compensation of $40–$100 USD per hour

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists create, review, and validate high-quality examples that teach AI systems how to understand technical information and produce more useful results. This role applies mechanical design expertise to the creation of structured CAD data for model training.

• Contribute to the development of modern AI systems
• Use professional expertise to create reliable training data
• Work remotely with flexible scheduling
• Build experience in a rapidly growing technical field

The Role

OpenTrain AI is seeking a Parametric CAD Data Generation and Validation Specialist to create and validate parametric CAD data for AI model training. You will combine practical mechanical design with dataset generation, producing accurate FreeCAD models and maintaining documentation that supports reproducibility and technical transparency.

The work includes building reusable digital representations of mechanical parts, assemblies, and design features. You will also review model quality, apply engineering judgment, and revise deliverables as project requirements evolve.

• Create precise parametric CAD data for AI training
• Produce reusable models of mechanical parts, assemblies, and features
• Support consistent quality review and technical traceability
• Work in English

What You'll Do

You will be responsible for both CAD dataset generation and validation. Your work should reflect sound mechanical design practices, accurate geometry, thoughtful parametrization, and clear documentation for technical and non-technical audiences.

• Produce, edit, and validate precise parametric CAD models using FreeCAD.
• Build a diverse library of mechanical parts, assemblies, and features for AI dataset creation.
• Apply Geometric Dimensioning and Tolerancing principles to reflect real-world mechanical design standards.
• Review CAD data for geometric accuracy, identify discrepancies, and resolve quality issues.
• Implement feedback and revisions as project requirements evolve.
• Document modeling workflows and design decisions for technical traceability.
• Use Python scripting where helpful to automate modeling tasks, improve parametrization, and enrich the resulting dataset.

Required Qualifications

This listing is identified as entry level, while the role requires at least two years of experience in mechanical design, CAD modeling, manufacturing, or industrial engineering. Candidates should be comfortable delivering precise, reusable parametric models and evaluating CAD data against production-ready standards.

• At least two years of experience in mechanical design, CAD modeling, manufacturing, or industrial engineering.
• Strong experience with FreeCAD or equivalent parametric CAD software.
• Demonstrated expertise in parametric modeling, mechanical design, and CAD validation.
• Working knowledge of GD&T and common manufacturing processes.
• Strong attention to detail and commitment to precision in technical deliverables.
• Ability to prepare comprehensive engineering documentation for technical and non-technical audiences.

Helpful Background

Experience using Python to automate CAD workflows or enhance model parametrization is useful for this role. Familiarity with production-ready design review criteria, industrial engineering principles, and real-world manufacturing considerations will help you assess whether models are robust, reusable, and suitable for practical use.

• Professional experience with FreeCAD or equivalent parametric CAD software
• Ability to build robust, reusable parametric mechanical models
• Knowledge of GD&T, CAD validation, mechanical design, and manufacturing processes
• Familiarity with industrial engineering principles and production-ready design review criteria
• Ability to document modeling workflows and engineering decisions clearly
• Python scripting for CAD automation is an optional skill

Work Arrangement and Compensation

This is a worldwide, remote contractor opportunity with part-time availability. The expected time commitment is 20 or more hours per week, and compensation is listed at $40–$100 USD per hour.

• Work location: Worldwide and remote
• Engagement: Contractor, part time
• Time requirement: 20+ hours per week
• Pay: $40–$100 USD per hour
• Primary language: English

Why Join OpenTrain

AI training and data labeling offer a way to apply specialized knowledge directly to the systems shaping the future of technology. Through OpenTrain, contributors can build a profile around their work, find projects aligned with their expertise, and develop a durable career in AI training.

• Help shape how advanced AI systems learn technical concepts
• Apply mechanical engineering and CAD expertise to AI development
• Work remotely with a flexible part-time schedule
• Create a portfolio of specialized AI training experience