
Artificial Intelligence • Recruitment • Marketplace
Mercor is a San Francisco-based online platform that connects companies with remote, paid AI and human-data workers for tasks like annotation, captioning, evaluation, and specialized consulting. The service operates as a marketplace offering role listings, daily payouts, and tools for managing data pipelines, incentives, and hiring workflows focused on AI productivity and research. Mercor targets businesses needing scalable human-in-the-loop data and AI-related talent, while providing candidates with gig-style opportunities and resources.
October 22

Artificial Intelligence • Recruitment • Marketplace
Mercor is a San Francisco-based online platform that connects companies with remote, paid AI and human-data workers for tasks like annotation, captioning, evaluation, and specialized consulting. The service operates as a marketplace offering role listings, daily payouts, and tools for managing data pipelines, incentives, and hiring workflows focused on AI productivity and research. Mercor targets businesses needing scalable human-in-the-loop data and AI-related talent, while providing candidates with gig-style opportunities and resources.
• As a Software Engineer at Mercor, you'll play a crucial role in helping us refine and scale our AI-powered hiring platform. • Members of our technical staff are responsible for improving the AI interview experience. • Processing millions in payouts each week. • Building a people search over billions of people. • Post-training LLMs. • Building the best recruiting engine in the world.
• Willing to align evening working hours with PT timezone through at least 11am PT. • Bachelor’s degree or higher in computer science. • Fluency in React, Next.js, Python, or Go. • Experience designing schemas for SQL and NoSQL databases. • Experience with cloud platforms (GCP or AWS). • Attention to detail and eagerness to learn. • 3+ years of experience.
• Impact: Your work powers how the world’s leading AI labs train and test their models. • Learning: Get early insights into frontier model capabilities months before the market. • Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
Apply NowOctober 22
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