Hourly Contract | Remote | $75–$100/hour
Mercor is seeking experienced, detail-oriented Software Engineers to collaborate with a top AI research lab in developing advanced Reinforcement Learning (RL) environments. Your expertise will be instrumental in designing, building, and maintaining high-performance interactive systems and data pipelines.
3+ years of professional software engineering experience.
Strong proficiency in at least one language: Python, Java, TypeScript, JavaScript, PHP, Ruby, C++, Go, Rust, C, or Cython.
Experience developing interactive systems, APIs, and data pipelines involving agent-environment interactions.
Solid foundation in software engineering principles: data structures, design patterns, unit testing, and version control.
Familiarity with reinforcement learning (RL) algorithms and training workflows.
Excellent verbal and written communication skills.
Fully remote and asynchronous, offering a flexible schedule.
Initial workload: 10–20 hours per week, with potential to expand to 40 hours.
Project duration: minimum 1–2 months, with the possibility of extension.
Currently accepting candidates from the U.S., UK, Canada, Australia, and New Zealand.
Hourly contractor classification.
Weekly payments via Stripe Connect.
Mercor connects elite technical talent with groundbreaking AI research initiatives. Based in San Francisco, CA, our notable investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Mercor is committed to diversity, inclusivity, and providing reasonable accommodations upon request.
Apply today and leverage your software engineering skills to advance cutting-edge AI technologies!
Upload resume → AI interview → Complete form → Submit application
Upload your best, up-to-date resume in English. Mercor will extract details and fill out your profile automatically. Review and adjust as needed.
SHOCKING FACT: Only ~20% of applicants complete their application! Take the 15-minute AI interview about your experience and you'll have MUCH HIGHER chances of getting hired!
AI Interview Tips: The interview focuses on your resume and work experience. Be ready to discuss specific projects and how you solved challenges.
Takes about 15 minutes | Dramatically improves your chances