Machine Learning Model Development Engineer
You will develop, test, and improve machine learning models for AI training projects. The work combines Python engineering, data analysis, experimentation, technical documentation, and recommendations based on model results.
- Field
- Machine learning
- Where
- United States, Algeria, Argentina, Austria, Bahrain, Bangladesh +46 more
- Commitment
- part time
- Posted
- 3 months ago
Pay data for your profession: Data scientist AI trainer jobs
The full listing
As posted on OpenTrain AI. See the original
The Work
You will develop, test, and improve machine learning models for AI training projects. The work combines Python engineering, data analysis, experimentation, technical documentation, and recommendations based on model results.
- Design, develop, and refine machine learning models using Python and libraries such as scikit-learn, TensorFlow, or PyTorch.
- Analyze large datasets and use MongoDB to store, manage, and retrieve data for training and validation.
- Build data pipelines and preprocessing workflows that support model training and inference.
- Evaluate models, tune hyperparameters, and benchmark results using suitable performance measures.
- Work with other contributors to find areas for improvement and implement reliable solutions.
- Document methods, experiments, results, and technical recommendations so the work can be repeated and reviewed.
- Provide data-based insights and recommendations from machine learning results.
What It Pays and Takes
The work requires strong practical machine learning skills, clear technical communication, and the ability to adapt as project requirements change.
- Pay: $80 to $140 per hour.
- Work arrangement: Remote contractor opportunity with part-time employment terms.
- Location: Open to candidates in the countries specified for this role across North America, South America, Europe, Asia, Africa, and the Middle East.
- Language: Professional fluency in English.
- Required technical skills: Python, machine learning frameworks, MongoDB, model evaluation, feature engineering, and data preprocessing.
- Required experience: A record of delivering machine learning solutions in practical settings and strong problem-solving skills.
- Communication: Clear written documentation and communication of technical findings and best practices.
- Helpful background: Deploying or operationalizing machine learning models in cloud or enterprise environments, including production-oriented training and inference workflows.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind artificial intelligence, including preparing data, testing models, and reviewing results. OpenTrain helps people find this work, build a profile, and apply to projects, while experienced contributors are valued for the technical judgment they bring to model development and evaluation.
How OpenTrain AI pays and hires
OpenTrain says it is free for freelancers, with no fees or subscriptions. Clients fund each milestone before work starts, and OpenTrain pays out to your connected payout method when the client approves the milestone. It doesn't publish a fixed payout schedule.
Create a free profile with your domains, languages and hourly rate, then apply to listings. Some listings hire through OpenTrain; others link you straight to the hiring platform.
Source: OpenTrain: AI training careers, OpenTrain docs: invoicing and payouts
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