Machine Learning Engineer
micro1Legit · not rated yetPosted on 17 Apr 2026
Pay: $80–140/hr
- Who can apply
- Countries not stated in the listing
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Expert (SME) review
- Openings
- 35 openings
At a glance: A freelance, remote expert (SME) review job with micro1. It pays $80–140/hr, with hours that vary. The listing doesn't say which countries can apply.
Ongoing · listed since 17 Apr 2026
micro1 keeps this listing open to recruit all year. It is still open, but it isn’t a new opening.
Countries not stated
The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only
We may earn a referral fee if you are hired. How we make money
What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 85% of the 205 other software engineering jobs on the board that state pay; 10% pay more.
- This job
- $110/hrMiddle of $80–140/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in software engineering
- $65/hrFrom 205 other paid jobs
Requirements
- Qualifications
- Python
- Machine Learning
- MongoDB
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Role Title: Machine Learning Engineer
Role Type: Contractor
Location: Remote
micro1 is engaging Machine Learning Engineers to contribute expertise to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
• Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives.
• Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation.
• Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions.
• Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance.
• Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows.
• Integrate data pipelines and preprocessing workflows to streamline training and inference processes.
• Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes.
Preferred Qualifications
• Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects.
• Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings.
• Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.
• Background in deploying or operationalizing machine learning models in cloud or enterprise environments.
• Clear written documentation and communication skills for sharing technical findings and best practices.
• Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- Last checked
- Source
- micro1
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