About this role
Role Overview
Contribute full-stack engineering expertise to AI research and product teams by training and evaluating models, designing realistic tasks and deliverables, and providing domain-specific feedback that advances frontier AI systems. This listing is an open application for future contract engagements; completing a profile and passing an AI interview makes you eligible for matching to projects as they become available.
Key Responsibilities- Train and evaluate AI models with full-stack engineering tasks and scenarios.
- Create task sets, test cases, and deliverables based on real-world frontend and backend use cases.
- Provide domain-specific feedback to improve model behavior and project outcomes.
- Complete the required profile and pass an AI interview to become eligible for project assignments.
- Participate in project-specific interviews when invited and deliver work remotely according to each project schedule.
- Professional experience in frontend development, including React, Angular, or Vue.
- Professional experience in backend development, including Node.js, Django, or Spring.
- Experience with relational and NoSQL databases.
- Strong written and verbal communication skills.
- Ability to work independently in a remote environment.
- engagement type: hourly contract opportunities, not a single fixed job posting.
- Location: remote.
- Projects vary in scope and duration; typical weekly commitment ranges between 15 and 30 hours.
- Matches to projects are made on a rolling basis based on expertise and project needs.
- You will be invited to interview for specific engagements that align with your skills and schedule.
70 - 150 hourly
Eligibility and Application Process- This is an open application for a talent network. Submitting an application does not guarantee immediate work; it makes you available for future contract opportunities.
- Apply once by completing your profile, including uploading your resume and confirming your work location.
- Credential review and verification are performed; qualified applicants are approved into the network.
- Candidates must pass an AI interview to be eligible for project matching.
- When projects requiring full-stack expertise are available, matches are made and approved experts are invited to interview for specific engagements.
- Selected experts start work remotely on schedules agreed per engagement and earn competitive hourly rates.