AI/ML Software Engineer

3 weeks ago


Canada Call For Referral Full time

AI/ML Software Engineer (Remote • Part-Time | $80–$120/hr) Mercor is hiring experienced Python Engineers to support high-impact research collaborations with leading AI labs. In this role, you will help improve AI systems by expanding coding benchmarks that mirror real-world software development across diverse languages, frameworks, and engineering workflows. This is a unique opportunity to apply your backend engineering expertise toward shaping the next generation of intelligent systems used by top research organizations. Key Responsibilities Develop and validate Python coding benchmarks by curating issues, solutions, and test suites from real-world repositories Ensure benchmark tasks include robust unit and integration tests for verification Maintain consistency, quality, and scalability across benchmark distributions Provide structured feedback on solution accuracy, clarity, and efficiency Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications 3–10 years of experience as a backend engineer, ML engineer, or applied data scientist Degree in Computer Science, Software Engineering , or related field Strong proficiency in Python Experience with debugging, testing, validation, and code review Comfortable with technical documentation and detail-oriented workflows Project Timeline Start Date: Immediate Duration: 1 month Commitment: Part-time (15–20 hours/week) Schedule: Fully remote and asynchronous—flexible working hours Compensation & Contract $80 per hour plus lucrative per-task bonuses (1 task ≈ 1 hour of work) Median total compensation with bonuses: ~$200/hour Daily payments via Stripe Connect Application & Onboarding Process Upload your resume Complete a short AI interview (~15 minutes) Complete a brief coding assessment testing debugging and technical depth Receive follow-up communication regarding next steps and onboarding Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity. #J-18808-Ljbffr


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