Full-Stack Engineer for AI Model Training

Join a talent network of experienced full-stack engineers who contribute to AI research and product development by training and evaluating models, creating realistic engineering tasks and deliverables, and providing domain-specific feedback. This is an open application for future contract opportunities; joining the network makes you eligible for projects that match your background and interests as they become available.

• Participate in training and evaluation of AI models in full-stack engineering contexts.
• Design and produce tasks, test cases, and deliverables that reflect real-world frontend and backend scenarios.
• Provide detailed, domain-specific feedback to improve model behavior and evaluation quality.
• Work independently on remote contract projects and take part in interviews for specific engagements when matched.

• Professional experience in frontend development, for example React, Angular, or Vue.
• Backend development experience with technologies such as Node.js, Django, or Spring.
• Familiarity with relational databases and NoSQL databases.
• Strong written and verbal communication skills.
• Ability to work independently and reliably in a remote environment.

• Engagement type: contract, hourly.
• Location: remote. You will be asked to confirm your work location during the application process.
• Typical time commitment: projects vary in scope and duration, with common commitments of 15 to 30 hours per week.
• Matching: experts are matched to opportunities on a rolling basis; joining the network does not guarantee immediate placement.
• You will be invited to interview for specific projects that align with your schedule and interests.

Hourly rate range: 70 to 150 per hour.

• This is an open application for future contract opportunities. To become eligible for projects you must complete your profile and pass a verification process that includes an AI interview.
• Application steps include uploading your resume, confirming your work location, and undergoing credential review and the AI interview. Qualified experts are approved and added to the network.
• Placement depends on project availability. When a suitable project opens, you may receive an invitation to interview and can accept assignments that fit your availability and interests.