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Join a groundbreaking project at the forefront of AI innovation. As a Junior SWE, you will drive the development of intricate database schemas, build sophisticated APIs, and create realistic environments designed to support cutting-edge Reinforcement Learning models. Your technical leadership will be essential in crafting globally-used platforms for advanced AI training and deployment. A brief 15-minute interview precedes candidate selection, with decisions typically made within two days following assessment completion. Currently, applicants must be based in the U.S., UK, or Canada. Why You’re a Great Fit You're a strong candidate if you: Have 1+ 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 in the U.S., Canada, or the UK. 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. Role Highlights Lead engineering teams in building sophisticated database structures and API systems. Oversee the development and deployment of secure authentication mechanisms, policy enforcement, and comprehensive backend systems. Populate environments with realistic, synthetic data optimized for advanced AI model training. Ensure applications are performant, secure, and modular. Navigate the unique constraints presented by Reinforcement Learning environments. Flexible workload: 10–20 hours weekly, with the potential to scale to 40 hours. Fully remote and asynchronous scheduling. Initial commitment of 1–2 months, with opportunities for extension. Compensation and Legal Details If you receive an offer for this position, you will be assigned to one of our ongoing projects. Contrary to what you might be used to, these projects follow a hybrid blend of hourly and commission-based pay, or just commission-based pay. More details will be shared in the onboarding form for the project you are assigned to. Based on average efficiency and quality, your blended hourly rate should be around

$120/hr . However, this is fully dependent on your individual throughput. About Mercor Mercor connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to leverage your elite software engineering skills in advancing revolutionary AI technologies! Earn $750 by referring Share the referral link below, and earn $750 for each successful referral through this unique link. There's no limit on how many people you can refer. Restrictions may apply. Learn more

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