Backend Engineer Talent Network | $70-$150/hr Remote
Overview
Mercor is assembling a vetted network of backend engineers who help leading AI labs and companies improve their models. This isn't a single job opening — it's a rolling talent pool for contract projects. As a member, you'd train and evaluate AI systems, create real-world engineering tasks, and provide expert feedback to push frontier AI research forward. Work is fully remote and part-time, typically 15–30 hours per week, with pay between $70 and $150 per hour.
What You'll Do5
- 1Help train and evaluate AI models by completing backend engineering tasks and assessments.
- 2Create tasks and deliverables that reflect real-world backend scenarios, from API design to system optimization.
- 3Provide domain-specific feedback and insights to support ongoing AI research and model improvement.
- 4Work on projects involving API development, microservices, database optimization, and distributed systems.
- 5Manage your own schedule and deliver high-quality work independently in a fully remote environment.
Requirements5
- 1Professional experience with API development and microservices architecture.
- 2Strong background in database architecture and optimization.
- 3Hands-on experience building or maintaining distributed systems.
- 4Excellent communication skills for collaborating with remote teams and AI researchers.
- 5Ability to work independently with minimal supervision.
Who Should Apply
You're a backend engineer who enjoys variety and wants to apply your skills to cutting-edge AI work. You thrive in autonomous remote settings, have a solid command of modern backend infrastructure, and are comfortable with contract engagements that typically run 15–30 hours per week. If you like solving real-world engineering problems and helping AI models get smarter, joining this talent network is a great fit.
Salary Insight
$70.00 - $150.00 per hour, depending on the project and your experience.
Location
Required Skills
Application Tip
Instead of a generic resume, highlight a few specific backend projects where your work improved performance, scalability, or reliability — and quantify the results. This makes it easier for Mercor to match you with relevant AI-focused opportunities.
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