CAD Expert Manufacturing and AI Evaluation

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI connects qualified professionals with projects where their real-world expertise helps improve how modern AI systems learn, reason, and perform.

Creating an OpenTrain account is free, and candidates can apply to this contractor opportunity remotely.

About AI Training and Evaluation

AI training is the human side of building artificial intelligence. Experts review examples, rate model outputs, write structured feedback, and help define the standards that AI systems must meet.

This work gives subject-matter professionals a flexible way to contribute to cutting-edge AI development. No previous AI experience is required for this role because your CAD and manufacturing knowledge is the primary qualification.

The Role

OpenTrain is seeking an intermediate-level CAD Expert with manufacturing and engineering experience for an AI training and evaluation project. You will evaluate AI-generated content, recommendations, and workflows related to CAD and manufacturing.

The role is fully remote and open worldwide. It is structured as part-time contractor work for less than 20 hours per week, with a project duration expected to be under one month.

• Contractor and part-time role
• Fully remote and open worldwide
• Expected commitment: 15–20 hours per week
• Fully flexible schedule with no fixed daily time slots
• After-hours and weekend work can be accommodated when required
• Expected project duration: under one month

What You'll Do

You will apply practical CAD, manufacturing, CAM, CNC, and engineering knowledge to assess whether AI-generated outputs are technically accurate, feasible, and efficient in real-world settings. Your feedback will help improve AI model performance and manufacturing-related workflows.

• Review AI-generated content, recommendations, and workflows related to CAD and manufacturing
• Evaluate manufacturing processes and techniques using practical industry knowledge
• Assess the technical accuracy, feasibility, and efficiency of AI-generated solutions
• Develop and validate detailed rubrics for manufacturing processes and AI-generated outputs
• Identify errors, inconsistencies, and recommendations that do not match real-world practices
• Provide clear, structured written feedback
• Use professional CAD, CAM, CNC, and manufacturing terminology
• Complete text-labeling workflows and evaluation-rating tasks
• Meet minimum weekly task-submission requirements

Required Qualifications

You should have hands-on experience with at least one CAD platform and a practical understanding of CAD workflows and manufacturing processes. Strong communication and attention to detail are important because the work involves explaining technical judgments and documenting evaluation results.

• Hands-on experience with at least one CAD platform, such as Fusion 360, AutoCAD, SolidWorks, Onshape, Inventor, CATIA, or Creo
• Practical understanding of CAD workflows and manufacturing processes
• Strong written and verbal communication skills
• Ability to explain technical concepts clearly
• Ability to provide detailed, structured feedback
• Strong attention to detail when evaluating technical accuracy
• Fluent English proficiency
• CAD manufacturing engineering AI evaluation subject-matter expertise

Preferred Experience

Candidates with additional manufacturing, digital engineering, technical evaluation, or AI-assisted design experience are especially encouraged to apply. Python proficiency is a significant plus but is not listed as a required qualification.

• Experience with Autodesk Fusion 360 or AutoCAD
• Background in CAM, CNC machining, or digital manufacturing
• Experience with manufacturing drawings, tooling, machining processes, or production workflows
• Python proficiency
• Familiarity with AI tools, large language models, generative design, or AI-assisted engineering workflows
• Experience evaluating AI-generated technical content
• Experience creating, applying, or validating technical evaluation rubrics

Compensation and Availability

Compensation is output-based, with experts paid per task that meets project specifications and quality requirements. The structured pay information lists a USD $50–$100 hourly range, while the project description defines payment by completed task.

Task time can vary based on your experience, workflow, and assignment complexity. Minimum submission requirements apply, and experts are expected to complete a minimum number of tasks each week. OpenTrain aims to fill the role quickly, with first tasks expected within 24–48 hours after onboarding for selected candidates.

• Output-based, per-task compensation
• Listed pay range: USD $50–$100 per hour
• Minimum weekly task requirements apply
• Ready-to-start candidates are preferred

Hiring Process

The selection process is designed to assess both your professional expertise and your ability to evaluate technical AI outputs. If selected, you will receive additional onboarding and project instructions.

• Apply to the role and complete the required screening questions
• Complete an approximately 30-minute AI-based interview
• Participate in hiring team review of your profile and interview responses
• Receive onboarding and project instructions if selected