Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
The employer is seeking an MLE Bench Data Analyst for part-time analytical work.
The role uses production-like datasets, metrics, and machine learning outputs to evaluate, diagnose, and improve advanced AI systems.
The analyst works at the intersection of data analysis and machine learning evaluation.
Key Skills for This Role
Full Job Posting
Role Overview
The employer is seeking an MLE Bench Data Analyst for part-time analytical work.
The role uses production-like datasets, metrics, and machine learning outputs to evaluate, diagnose, and improve advanced AI systems.
The analyst works at the intersection of data analysis and machine learning evaluation.
Location and Job Type
- The role is remote.
- The position is part-time.
Payout
- Compensation is competitive and based on experience.
Key Responsibilities
- Analyze structured and unstructured datasets from machine learning 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 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 machine learning 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 collaborates with machine learning engineers and researchers to design challenging evaluation scenarios.
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