top of page
< Back

Autodesk Fusion 360 Specialist

$40–$100/h

Remote

Role overview

Role Title: Autodesk Fusion 360 Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Autodesk Fusion 360 Specialists to contribute expertise on a high-impact customer project focused on advanced parametric CAD modeling. 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 Fusion 360 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 models of mechanical parts and assemblies based on detailed written briefs, emphasizing robust sketching, constraints, and feature trees.
  2. Edit and update existing parametric CAD models to reflect evolving requirements, ensuring manufacturability and compliance with specifications.
  3. Audit and review CAD models for dimensional accuracy, tolerance application, and alignment with design intent, calling out any gaps or deviations.
  4. Support AI model training by delivering consistent, high-quality CAD data and clear documentation of design decisions.
  5. Apply deep working knowledge of manufacturing processes—such as injection molding, sheet metal fabrication, CNC machining, and casting/forging—to optimize designs for production.
  6. Communicate design rationale, feedback, and technical insights with clarity—both in writing and verbally—in support of collaboration and continuous project improvement.


Preferred Qualifications

  1. Extensive hands-on experience with parametric CAD platforms (ideally FreeCAD, with strong proficiency in Autodesk Fusion 360, SolidWorks, or Inventor acceptable).
  2. Proven application of GD&T principles (ASME Y14.5 or equivalent) in real-world projects.
  3. Demonstrated DFM expertise across at least 2-3 manufacturing processes relevant to the project scope.
  4. 4+ years of applied experience for model editing tasks; 10+ years for complex model creation assignments.
  5. Proven ability to tackle assembly-level modeling, not just single-part tasks.
  6. Experience in reverse engineering workflows, such as scan-to-CAD or point cloud conversions, is highly valued.
  7. Familiarity with CAD automation or scripting (e.g., Python, iLogic, NX Open, VBA) considered a strong plus for automating and standardizing workflows.

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 →