Remote Exceptional Software Engineers (Coding Agent Experience) - AI Trainer ($85-$85 per hour)Mercor • Livermore, California, US
Remote Exceptional Software Engineers (Coding Agent Experience) - AI Trainer ($85-$85 per hour)
Mercor • Livermore, California, US
[job_card.variable_days_ago]
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[job_card.job_description]real-world engineering work —including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. You are good fit if you : Have experience using coding agents as part of your software engineering workflow. - Have 3+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments. - Hold a Computer Science degree from a prestigious university. - Have demonstrated success leading teams to build complex database schemas. - Possess expert-level proficiency in API development, including creation, testing, and integration. - Are highly skilled in SQL and database structuring. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. About the Role This project will be a high-impact 24-hour sprint that will start in the next 1-2 weeks - This role would offer a task-based pay (top performers in the previous iteration made upwards of $1000 in the sprint) Compensation and Legal Details You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!
Mercor is seeking software engineers to support one of the world’s leading AI labs in building
- robust, high-performance systems
- that serve the needs of next-generation machine learning applications.
This role involves
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