Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
Part-time Machine Learning Analyst role supporting benchmark-driven evaluation projects for advanced AI systems.
The work combines data analysis and machine learning evaluation using real datasets and ML evaluation workflows.
Key Skills for This Role
Full Job Posting
Role Overview
Part-time Machine Learning Analyst role supporting benchmark-driven evaluation projects for advanced AI systems.
The work combines data analysis and machine learning evaluation using real datasets and ML evaluation workflows.
Location and Work Arrangement
- The role is remote.
Compensation
- Compensation is competitive and based on experience; no payment cadence is specified.
Key Responsibilities
- Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.
- Define, compute, and validate metrics used to evaluate model performance and behavior.
- Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
- 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 three years of experience as a data analyst or analytics-focused engineer is required.
- Strong proficiency in Python for data analysis is required.
- Solid experience with SQL and relational datasets is required.
- Experience analyzing ML outputs and evaluation metrics is required.
- Strong understanding of statistics and analytical reasoning is required.
Opportunity Context
The role contributes to data infrastructure and analytics projects involving collaboration with ML engineers and researchers.
The work includes designing challenging evaluation scenarios for real-world machine learning systems.
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