Full-Stack Engineer Talent Network | $70-$150/hr Remote
Overview
Join Mercor's exclusive talent network for full-stack engineers seeking flexible, high-impact contract work with leading AI labs and companies. This isn't a single open role — it's an opportunity to be matched with projects that fit your skills, focusing on training and evaluating AI models through real-world engineering tasks. You'll contribute your domain expertise to advance frontier AI research while working remotely on your own schedule. Typical commitments run 15-30 hours per week, with pay between $70-$150/hour.
What You'll Do5
- 1Support AI model training and evaluation by completing engineering-specific tasks and deliverables.
- 2Create realistic, scenario-based challenges that test and improve AI performance in full-stack development.
- 3Share expert feedback on AI outputs to help refine and push forward frontier research.
- 4Manage your own workflow and deliver high-quality results independently in a fully remote setup.
- 5Collaborate with Mercor's team to get matched with projects that align with your expertise and availability.
Requirements4
- 1Hands-on experience with frontend frameworks like React, Angular, or Vue.
- 2Solid backend development skills using Node.js, Django, or Spring.
- 3Working knowledge of relational and NoSQL databases.
- 4Strong written and verbal communication skills, plus the ability to work autonomously in a remote environment.
Who Should Apply
You're a practical, self-motivated full-stack engineer who enjoys variety and wants your technical skills to shape the next generation of AI. You're comfortable jumping between different stacks and projects, and you can articulate your reasoning clearly — whether in written feedback or during an interview. If you're looking for flexible, part-time contract work with competitive pay, this network is a great fit.
Salary Insight
Compensation ranges from $70 to $150 per hour, with typical project commitments of 15-30 hours per week.
Location
Required Skills
Application Tip
Tailor your resume to highlight measurable outcomes from projects using React, Node.js, and SQL/NoSQL — the AI interview will assess your depth, so be ready to walk through real-world trade-offs and architecture decisions.
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