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# Full-Stack Engineer for AI Model Training

- **Company:** Expedia Inc.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $312,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Relational Databases, Django Web Framework, Machine Learning, Node.Js, NoSQL, ReactJS, Vue.js, AngularJS, Front End Software Development
- **Published:** August 4, 2026
- **Apply:** https://www.careerjet.com/job/register/us285bfeb38c4fdb136ae8ca84559efa9a

## About the Role

* Professional experience in frontend frameworks such as React, Angular, or Vue.
 * Professional experience in backend technologies such as Node.js, Django, or Spring.
 * Experience with relational databases and NoSQL databases.
 * Strong written and verbal communication skills.
 * Ability to work independently in a remote environment and manage your own schedule.

## Description

Provide full-stack engineering expertise to AI labs and companies by contributing to model training and evaluation, designing realistic engineering tasks, and delivering domain-informed feedback that advances AI systems. This listing is an open application to join a talent network for future contract opportunities that match your background and interests. Candidates who complete a profile and pass an AI interview become eligible for project matches on a rolling basis. Key Responsibilities

 * Participate in training and evaluating AI models with a focus on full-stack engineering scenarios.
 * Design and produce tasks, test cases, and deliverables that reflect real-world frontend and backend engineering work.
 * Provide detailed, domain-specific feedback to improve AI behavior and performance.
 * Work independently on remote projects, adapting to varied project scopes and durations.
 * Accept invitations to interview for specific contract engagements that align with your skills and availability., * Engagement type: hourly contract opportunities, remote work.
 * Project availability is variable, matches are made on a rolling basis as projects arise.
 * Typical project time commitment ranges from 15 to 30 hours per week, projects may vary in scope and duration.
 * You will be invited to interviews for specific opportunities that align with your expertise and schedule; applying to the network does not guarantee immediate placement.


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