Machine Learning Engineer
Listing checked September 4, 2026 · pay as published by micro1
Overview
A remote contract role for building and refining machine learning models using Python. You’ll work on real-world data to help train next‑generation AI systems, shaping how models learn, reason, and perform. The project emphasizes data handling, model evaluation, and clear documentation of experiments and results. Python, MongoDB, and core ML workflows are central to this work.
What You'll Do7
- 1Design, implement, and fine-tune machine learning models with Python and relevant libraries to meet project goals
- 2Process and query large datasets with MongoDB to support model training and validation
- 3Collaborate with cross‑functional teammates to identify model improvement opportunities and implement solid solutions
- 4Evaluate models, adjust hyperparameters, and benchmark performance to achieve solid results
- 5Document experimental methods, results, and workflows to ensure repeatability
- 6Integrate data preprocessing and pipeline steps to support training and inference
- 7Provide actionable insights and recommendations derived from ML outcomes and data analysis
Requirements7
- 1Proficiency in Python with hands‑on experience in ML frameworks such as scikit‑learn, TensorFlow, or PyTorch
- 2Practical use of MongoDB for data manipulation and retrieval within ML projects
- 3Strong problem‑solving abilities and a history of delivering ML solutions in real‑world settings
- 4Knowledge of model evaluation metrics, feature engineering, and data preprocessing techniques
- 5Experience deploying or operationalizing ML models in cloud or enterprise environments
- 6Clear written communication for sharing technical findings and best practices
- 7Ability to adapt to shifting project needs and collaborate effectively in a remote setting
Who Should Apply
The ideal candidate brings proven Python and ML framework experience, plus hands‑on MongoDB work within ML projects. This role is less suitable for someone without deep model development or data pipeline experience, or without remote collaboration familiarity. Possible fit issues include limited experience in model evaluation and tuning, or difficulty documenting processes and results for repeatable workflows.
Salary Insight
$80 - $140/hr. Pay specifics are discussed later in the hiring process.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$80–$140/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits above that range.
Based on 550 similar roles that publish pay · 101 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 645
- Listed in last 30 days
- 380
- Remote
- 96%
Hiring most right now: micro1 (256) · Mercor (81) · AfterQuery (73)
Most requested skills · share of roles
- python20%
- technical writing10%
- ai evaluation9%
- llm evaluation7%
Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$80–140/hr
Required Skills
Application Tip
Highlight a recent project where you built and deployed an ML model end‑to‑end, including dataset scale, metrics used, and how MongoDB supported data handling.
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