Live opening · Posted 2 days ago
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APPLY DIRECTLY HERE: https://t.mercor.com/LAnM3
Role Overview We are expanding our elite Engineering Expert Network, connecting highly skilled Machine Learning Engineers with frontier AI research laboratories. In this fully remote role, you will apply your deep expertise in ML model development, training, and MLOps to help shape and evaluate the next generation of artificial intelligence systems.
Core Responsibilities Once matched with an active project, your contributions will include:
Training, fine-tuning, and evaluating cutting-edge AI models using advanced ML engineering practices.
Designing robust technical tasks, coding challenges, and deliverables based on real-world AI and deployment scenarios.
Providing domain-specific, structured feedback on model architecture and outputs to advance frontier AI research.
Candidate Profile
Technical Expertise: Extensive professional experience in machine learning model development, deployment, and MLOps.
Frameworks: Deep, hands-on proficiency with Python and modern ML frameworks (PyTorch and/or TensorFlow).
Language: Fluent in written and spoken English, with exceptional communication skills to articulate complex technical feedback.
Work Style: Highly self-motivated with the proven ability to thrive in a remote, independent environment.
Engagement Details & Compensation
Work Structure: 100% remote, independent contractor position. Set your own flexible schedule.
Commitment: Typical engagements range from 15 to 30 hours per week, depending on project needs.
Compensation: Highly competitive rate ranging from $80.00 to $250.00 per hour, depending on seniority. Payments are processed securely and weekly via Stripe or Wise based on services rendered.
Confidentiality: Your work will not involve accessing, using, or sharing any confidential source code or proprietary data from your current employer.
Next Steps By applying, you are registering for our continuous Machine Learning Engineer Talent Network. Please submit your resume outlining your tech stack. Verified engineers will undergo a brief AI-guided technical interview and be matched with upcoming projects on a rolling basis.
(We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.)
Work arrangement
Yes
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