Machine Learning Engineer Talent Network
- Pay
- $70–$250/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Feb 26, 2026
- Languages
- English
- Who can apply
- Only Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Australia, Austria, Bahrain, Bangladesh, Belgium, Benin, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Canada, Chile, Colombia, Costa Rica, Croatia, Cyprus, Czech Republic, Denmark, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, Finland, France, Gabon, Germany, Ghana, Greece, Guatemala, Guyana, Hungary, Iceland, India, Indonesia, Ireland, Israel, Italy, Ivory Coast, Jamaica, Japan, Jordan, Kuwait, Laos, Latvia, Lithuania, Luxembourg, Madagascar, Malaysia, Malta, Mauritius, Mexico, Monaco, Mongolia, Morocco, Mozambique, Namibia, Nepal, Netherlands, New Zealand, Nigeria, North Macedonia, Norway, Oman, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Rwanda, Saint Lucia, San Marino, Saudi Arabia, Senegal, Serbia, Singapore, Slovakia, Slovenia, South Africa, South Korea, Spain, Sri Lanka, Sweden, Switzerland, Taiwan, Tanzania, Thailand, Gambia, Trinidad and Tobago, Tunisia, Turkey, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vietnam
About Mercor’s talent network
Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests.
Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.
About Mercor projects
Experts in our network contribute to:
Training and evaluating AI models in Machine Learning Engineering
Creating tasks and deliverables based on real-world scenarios
Providing domain-specific feedback to advance frontier AI research
Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week.
What we're looking for:
Professional experience in machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps
Strong communication skills
Ability to work independently in a remote environment
How it works:
This is not a specific job posting. By applying, you're joining our Machine Learning Engineer talent network.
Apply once: Complete your profile by uploading your resume and confirming your work location.
Get verified: We review your credentials and approve qualified experts.
Stay connected: When projects need Machine Learning Engineering expertise, we match you to opportunities based on your expertise and project needs.
Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.
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