ML Engineer (MSc. or PhD)
Listing checked October 16, 2026 · pay as published by Micro1
Overview
This contract role with micro1 puts you on an AI training project where you build, train, and validate machine learning systems. You will work with Python, coding agents, and numerical computing to create reproducible training and inference workflows. The position is fully remote and global, with about 15 hours per week and a schedule you control, including weekends. Pay is output-based at $60 to $120 per hour, and tasks are reviewed against strict correctness and performance standards.
What You'll Do9
- 1Create and validate machine learning models, training pipelines, and inference systems.
- 2Implement model components, data pipelines, evaluation systems, and numerical methods.
- 3Build reproducible programmatic workflows using Python and command-line tools.
- 4Solve and review challenging machine learning engineering tasks.
- 5Modify or implement models to meet objective correctness and performance requirements.
- 6Construct reproducible training or inference workflows from scratch.
- 7Optimize memory usage or throughput in existing systems.
- 8Debug numerical or system-level failures in ML code.
- 9Verify that implementations satisfy stated correctness and performance criteria.
Requirements8
- 1Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field.
- 2Strong professional or research experience in machine learning.
- 3Practical proficiency with Python and coding agents.
- 4Experience at a well-established technology company, AI laboratory, research organization, or similar engineering environment is strongly preferred.
- 5Exceptional open-source or academic experience may also qualify.
- 6Equivalent tools may be considered when you demonstrate directly relevant depth.
- 7Coding-heavy background with hands-on model development, training, and inference work.
- 8Ability to start within 24 to 48 hours of completing onboarding.
Who Should Apply
The ideal candidate holds an MSc or PhD in a quantitative field and has deep hands-on experience with Python, coding agents, and ML model development. You should be comfortable debugging numerical failures and optimizing memory or throughput. This role suits someone who wants a flexible, output-based contract with about 15 hours per week.
Salary Insight
Compensation is $60 to $120 per hour, paid per task that meets project specifications. The time each task takes varies based on your experience and workflow. Minimum submission requirements apply.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$60–$120/hr
Most AI Training roles pay $40–$98 per hour. This role's pay falls inside that range.
Based on 1,056 similar roles that publish pay · 302 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
- 1,214
- Listed in last 30 days
- 460
- Remote
- 98%
Hiring most right now: micro1 (355) · SME Careers (254) · Mercor (145)
Most requested skills · share of roles
- ai training13%
- ai evaluation11%
- llm evaluation11%
- data annotation9%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$60–120/hr
Required Skills
Application Tip
In your application, highlight specific ML projects where you used Python and coding agents to build or debug training and inference pipelines. Quantify results such as memory reduction or throughput gains, and mention any experience at a recognized tech company, AI lab, or research organization.
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