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 supporting evaluation and improvement of advanced AI systems.
The work involves production-like datasets, metrics, ML outputs, and machine learning evaluation workflows.
The analyst will collaborate with machine learning engineers and researchers on benchmark-driven evaluation projects.
Key Skills for This Role
Full Job Posting
Role Overview
The role is a part-time Machine Learning Analyst position supporting evaluation and improvement of advanced AI systems.
The work involves production-like datasets, metrics, ML outputs, and machine learning evaluation workflows.
The analyst will collaborate with machine learning engineers and researchers on benchmark-driven evaluation projects.
Key Responsibilities
- Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.
- Define, compute, and validate metrics for model performance and behavior.
- Investigate data distributions, model outputs, failure modes, and benchmark edge cases.
- Write and run Python and SQL code 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.
Workplace
- The position is remote.
Compensation
- Payout is described as competitive and based on experience; no compensation cadence is specified.
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