Full-Stack Engineer Talent Network | $70-$150/hr Remote
Overview
This role is an invitation to join Mercor's expert network, connecting seasoned full-stack engineers with cutting-edge AI labs and companies. You'll contribute to training and refining AI models by creating real-world tasks and providing domain-specific feedback. It's a flexible, remote opportunity for engineers who want to shape the future of AI while working on their own schedule.
What You'll Do4
- 1Assist in training and evaluating AI models by completing full-stack engineering tasks that simulate real-world scenarios.
- 2Design and deliver structured deliverables—such as code reviews, debugging challenges, or feature implementations—to help advance frontier AI research.
- 3Provide expert feedback on AI-generated outputs in areas like React, Node.js, and database interactions to improve model accuracy and reasoning.
- 4Participate in projects that vary in scope and duration, typically requiring 15-30 hours per week of focused, independent work.
Requirements4
- 1Hands-on experience with frontend frameworks such as React, Angular, or Vue.
- 2Proficiency in backend development using Node.js, Django, or Spring, along with both relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases.
- 3Strong written and verbal communication skills to articulate technical concepts clearly and collaborate effectively in a remote setting.
- 4Ability to work autonomously, manage your own time, and deliver high-quality results without direct supervision.
Who Should Apply
This network is ideal for experienced full-stack engineers who enjoy variety and want to apply their skills to AI development. You thrive in a remote, independent environment, have a solid grasp of modern web technologies, and are comfortable providing detailed, constructive feedback. If you're looking for flexible, project-based work that directly influences AI capabilities, this is for you.
Salary Insight
Compensation ranges from $70 to $150 per hour, depending on project complexity and your expertise.
Location
Application Tip
When completing your profile, include specific examples of projects where you built both frontend and backend components end-to-end—this helps match you with the most relevant AI training opportunities.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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