Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
The role is a part-time Machine Learning Analyst position involving hands-on analysis of production-like datasets, metrics, and ML outputs.
The analyst will evaluate, diagnose, and help improve advanced AI systems through data analysis and machine learning evaluation workflows.
Key Skills for This Role
Full Job Posting
Role Overview
The role is a part-time Machine Learning Analyst position involving hands-on analysis of production-like datasets, metrics, and ML outputs.
The analyst will evaluate, diagnose, and help improve advanced AI systems through data analysis and machine learning evaluation workflows.
Compensation
- Compensation is competitive and based on experience; no payment cadence is specified.
Workplace
- The role is remote.
Key Responsibilities
- Analyze structured and unstructured datasets from ML training, inference, and evaluation pipelines.
- Define, compute, and validate model performance and behavior metrics.
- Investigate data distributions, model outputs, failure modes, and benchmark edge cases.
- Use Python and SQL to analyze data, create reports, and support evaluation workflows.
- Validate data quality, consistency, and correctness across datasets and experiments.
Required Skills and Qualifications
- At least 3 years of experience as a data analyst or analytics-focused engineer.
- Strong proficiency in Python for data analysis.
- Solid experience with SQL and relational datasets.
- Experience analyzing ML outputs and evaluation metrics.
- Strong understanding of statistics and analytical reasoning.
Opportunity Context
The work supports benchmark-driven evaluation projects focused on real-world machine learning systems.
The analyst will collaborate with ML engineers and researchers to design challenging evaluation scenarios.
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