Autodesk Fusion Expert
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AquSag Technologies
US
Summary
The expert will provide feedback on manufacturing processes and refine AI-generated content related to CAM, CNC, and Fusion 360 workflows. They are also responsible for developing and validating rubrics to evaluate the accuracy and efficiency of manufacturing processes.
Job Description
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.
This unique project centers on evaluating manufacturing processes and workflows, particularly with respect to CAM, CNC, and Fusion 360 environments. Your insights will directly support the development of evaluation rubrics designed to enhance human productivity, not replace it.
Scope of Work
- Provide expert feedback on manufacturing processes and techniques, emphasizing CAM, CNC, or Fusion 360 applications.
- Review, assess, and refine AI-generated content and recommendations relevant to manufacturing workflows.
- Develop and validate detailed rubrics for evaluating manufacturing process accuracy and efficiency.
Preferred Qualifications
- Proven expertise in CAM, CNC machining, and digital manufacturing workflows.
- Advanced proficiency with Autodesk Fusion 360 and related manufacturing software platforms.
- Strong written and verbal communication skills with an emphasis on clarity and detail.
- Experience in developing or utilizing process evaluation rubrics is highly valued.
Process:
- Apply to the role, filling out the screening questions
- Complete AI interview (aprox. 30 minutes)
- Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
- We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding.
AquSag supports engineering and AI workflow delivery across GenAI programs, benchmark evaluation, enterprise engineering, and distributed technical operations.
Our work spans RLHF and post-training workflows, benchmark and SWEbench-style evaluation programs, GenAI engineering, MLOps support, coding evaluation, multilingual AI operations, red teaming, and QA-heavy technical review environments.
Alongside AI workflow delivery, we also support engineering teams across Python, Java, .NET, SAP, Salesforce, cloud, DevOps, QA, and enterprise platform environments.
A large part of our work involves helping companies scale technical programs quickly without losing delivery consistency, review quality, or operational reliability.
We work across AI platforms, product companies, enterprise technology teams, and global delivery environments where engineering and evaluation workflows increasingly operate side by side.
Key areas:
• RLHF & AI evaluation
• Benchmark & SWEbench-style workflows
• GenAI engineering & MLOps
• Red teaming & adversarial testing
• Enterprise engineering teams
• Cloud, DevOps & QA
• Multilingual & domain-specific AI programs
Founded
2011
Company size
51-200 employees
Industry
IT Services and IT Consulting
Org type
Privately Held
Headquarters
Middletown, Delaware
AquSag supports engineering and AI workflow delivery across GenAI programs, benchmark evaluation, enterprise engineering, and distributed technical operations.
Our work spans RLHF and post-training workflows, benchmark and SWEbench-style evaluation programs, GenAI engineering, MLOps support, coding evaluation, multilingual AI operations, red teaming, and QA-heavy technical review environments.
Alongside AI workflow delivery, we also support engineering teams across Python, Java, .NET, SAP, Salesforce, cloud, DevOps, QA, and enterprise platform environments.
A large part of our work involves helping companies scale technical programs quickly without losing delivery consistency, review quality, or operational reliability.
We work across AI platforms, product companies, enterprise technology teams, and global delivery environments where engineering and evaluation workflows increasingly operate side by side.
Key areas:
• RLHF & AI evaluation
• Benchmark & SWEbench-style workflows
• GenAI engineering & MLOps
• Red teaming & adversarial testing
• Enterprise engineering teams
• Cloud, DevOps & QA
• Multilingual & domain-specific AI programs
Founded
2011
Company size
51-200 employees
Industry
IT Services and IT Consulting
Org type
Privately Held
Headquarters
Middletown, Delaware