top of page
< Back

Autodesk Inventor Specialist

$30–$100/h

Remote

Role overview

Role Title: Autodesk Inventor Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Autodesk Inventor Specialists to contribute to a customer-focused project involving advanced mechanical design. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Note on Software: We're looking for experts with strong 3D parametric CAD modelling experience — for example, in Autodesk Inventor Specialist. This experience is directly transferable to FreeCAD, which is the software this project will focus on. Prior FreeCAD experience is ideal.


Scope of Work

  1. Develop fully-parametric 3D CAD models of mechanical parts and assemblies based on detailed written briefs using Autodesk Inventor (or comparable platforms).
  2. Edit and update existing models to reflect revised requirements, ensuring all changes remain fully parametric and in line with best practices.
  3. Audit and review CAD models for compliance with dimensional, tolerance, and manufacturability criteria, identifying and documenting any gaps or issues.
  4. Create and interpret detailed technical drawings, applying ASME Y14.5 or equivalent GD&T standards.
  5. Ensure robust Design for Manufacturability (DFM) considerations across processes such as injection molding, sheet metal, CNC machining, and casting/forging.
  6. Support AI training initiatives by providing clear documentation and rationale for design decisions, edits, and audits.
  7. Communicate effectively in written and verbal formats, delivering precise feedback and solution-oriented insights to project stakeholders.


Preferred Qualifications

  1. Minimum 4 years of hands-on parametric modeling experience for edit-level tasks; 10+ years for complex creation work.
  2. Expertise in Autodesk Inventor, with fluency in similar platforms like FreeCAD, SolidWorks, or Fusion 360 considered highly relevant.
  3. Demonstrated proficiency with GD&T (ASME Y14.5 or equivalent), with practical, real-world application.
  4. Proven DFM experience covering at least two to three manufacturing processes (e.g., injection molding, sheet metal, CNC, casting).
  5. Experience with reverse engineering workflows, such as scan-to-CAD or point cloud-to-model reconstruction.
  6. Ability to manage assembly-level designs and complex mechanical systems, not just single-part modeling.
  7. Familiarity with CAD automation, scripting (Python, iLogic, VBA, NX Open), or similar tools for enhancing workflow efficiency.

Similar jobs

Aerodynamics Expert · Micro1 · $80–$150/h · Global, fully remote

Aerospace CAD Expert · Micro1 · $40–$80/h · Remote

Application Users - AutoCAD Mechanical - STEM · Mercor · $45–$55/h · Remote

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →