

Crossing Hurdles
Machine Learning Engineer | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a part-time Machine Learning Engineer position, remote, paying $70–$250 per hour, requiring professional experience in machine learning, proficiency in Python and ML frameworks (PyTorch/TensorFlow), and expertise in model deployment and MLOps workflows.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
250
-
🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#TensorFlow #PyTorch #Model Deployment #ML (Machine Learning) #Python #Deployment #AI (Artificial Intelligence)
Role description
Position: Join Expert Network: Machine Learning Engineer
Type: Part-time / Project-based
Compensation: $70–$250 per hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Join Mercor’s Machine Learning Engineer Network to be matched with companies hiring for ML-focused roles
• Contribute to machine learning model development and applied AI system optimization
• Work with Python and ML frameworks such as PyTorch or TensorFlow
• Support model deployment and MLOps workflows
• Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles
• Complete an initial AI interview to become eligible for relevant listings aligned with experience
Requirements
• Professional experience in machine learning engineering
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience with model deployment and MLOps workflows
• Strong understanding of applied AI system optimization
• Ability to collaborate with AI labs and cross-functional engineering teams
• Willingness to complete an AI interview for opportunity matching
Application Process (Takes 20 Mins)
• Upload resume
• Interview (15 min)
• Submit form
Position: Join Expert Network: Machine Learning Engineer
Type: Part-time / Project-based
Compensation: $70–$250 per hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
• Join Mercor’s Machine Learning Engineer Network to be matched with companies hiring for ML-focused roles
• Contribute to machine learning model development and applied AI system optimization
• Work with Python and ML frameworks such as PyTorch or TensorFlow
• Support model deployment and MLOps workflows
• Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles
• Complete an initial AI interview to become eligible for relevant listings aligned with experience
Requirements
• Professional experience in machine learning engineering
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience with model deployment and MLOps workflows
• Strong understanding of applied AI system optimization
• Ability to collaborate with AI labs and cross-functional engineering teams
• Willingness to complete an AI interview for opportunity matching
Application Process (Takes 20 Mins)
• Upload resume
• Interview (15 min)
• Submit form





