Avg Pay
$25/hr
Pay Range
$20–$30/hr
Categories
2
Active Gigs
2
FreeCAD / Mechanical CAD Expert, AI Computer-Use Trainer
This role involves creating and demonstrating realistic parametric CAD tasks using FreeCAD to train AI models. You will design challenging engineering tasks, record yourself completing them with provided tools, and define objective success criteria for the AI's performance. Key requirements: * Expertise in parametric CAD, specifically FreeCAD. * Ability to author production-realistic CAD tasks and document workflows. * Skill in defining verification and success criteria for CAD models. Pay: Up to $30/hr To apply, follow the instructions provided by SME Careers for this gig.
Ubuntu/Linux User for AI Data Training
We are looking for people who regularly use Ubuntu/Linux. No prior AI experience is required. If you are comfortable working in Ubuntu, installing applications, following instructions, and completing technical tasks independently, we would like to hear from you. As an AI Data Trainer with Linux/Ubuntu, you will work remotely on an hourly paid basis to support AI data training projects through structured, detail-oriented tasks. You will install applications and record your actions while completing tasks with patience, concentration, and strong attention to detail. This role requires you to have your own computer running Ubuntu/Linux and to be comfortable installing the applications and tools needed for the project. While advanced AI experience is not required, you should be tech-savvy, reliable, careful with instructions, and able to work independently. This role is a good fit for students, junior candidates, Linux enthusiasts, and other tech-savvy individuals who are patient, focused, detail-oriented, and comfortable working with Ubuntu/Linux. This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your work will directly contribute to improving AI systems used across products and industries.