Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
Work part-time on hands-on analytical tasks using production-like datasets, metrics, and ML outputs.
Support evaluation, diagnosis, and performance improvement of advanced AI systems.
Key Skills for This Role
Full Job Posting
Role Overview
Work part-time on hands-on analytical tasks using production-like datasets, metrics, and ML outputs.
Support evaluation, diagnosis, and performance improvement of advanced AI systems.
Workplace and Job Type
- The role is remote.
- The position is part-time.
Compensation
- Payout is competitive and based on experience; no compensation cadence is specified.
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.
- Write and run Python and SQL code for data analysis, reporting, and 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 opportunity involves benchmark-driven evaluation projects for real-world machine learning systems.
The role includes collaboration with ML engineers and researchers to design challenging evaluation scenarios.
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