Machine Learning Engineer, Part-Time AI Model Development - Remote (United States)

OpenTrain AI; United States; Remote; USD 110,000 - 193,000; Part time

Job summary

OpenTrain AI is seeking a freelance ML engineer to work on practical model development and AI evaluation tasks. The role is remote with a flexible, part-time schedule and no fixed shifts.

You will build ML tasks, review AI-generated models, write expert solutions in Python, and explain where the AI falls short, with data-driven recommendations. Strong Python skills and experience with ML frameworks are required.

Qualifications

• Strong Python ability and ability to write clean, tested code.
• Experience with data preprocessing and feature engineering.
• Familiarity with ML evaluation metrics and benchmarking.
• Clear written and spoken English.

Responsibilities

• Create practical ML tasks involving model development, data analysis, and preprocessing workflows
• Review AI-generated modeling work, evaluate results, and benchmark performance with appropriate metrics
• Write the expert solution, including Python implementations, model refinements, and validation steps
• Explain where an AI’s approach falls short and recommend improvements based on data and results

Skills

Strong Python ability

Data preprocessing

Model evaluation

English communication

Tools

Python

scikit-learn

TensorFlow

PyTorch

MongoDB

Job description

Use your machine learning expertise on practical model-development and AI-evaluation work with a flexible schedule.

The AI systems changing how people work are trained and tested by real machine learning engineers. The teams building them need professionals who can create realistic modeling and data tasks, judge how well an AI handles them, write the solution a machine learning expert would give, and explain exactly where the AI falls short. Your work supports AI training through machine learning development, data analysis, validation, and performance improvement. This is that work, done remotely around your schedule.

What you'll do

• Create practical machine learning tasks involving model development, data analysis, and preprocessing workflows
• Review AI-generated modeling work, evaluate its results, and benchmark performance with appropriate metrics
• Write the expert solution, including Python implementations, model refinements, and validation steps
• Explain where an AI's approach falls short and recommend improvements based on the data and results

Why this is worth your time

• Get paid $80–$140 an hour for practical machine learning development and evaluation work
• Apply Python and machine learning skills to model development, data analysis, validation and performance improvement
• Work on experiments, documentation and data-based recommendations in machine learning projects
• Fully remote and flexible, no fixed shifts, no commute

Who this is for

• Strong Python ability, with familiarity across scikit-learn, TensorFlow, or PyTorch
• Hands-on MongoDB experience in machine learning projects, including work to manipulate, store, and retrieve data
• Understanding of data preprocessing and feature engineering, plus model evaluation metrics; clear written and spoken English
• No experience in AI training work needed.

Pay and details

• $80–$140 per hour, paid hourly as an independent contractor
• Part-time, flexible schedule; fully remote, United States

About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.