Machine Learning Analyst (Remote)
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Key skills for this role
Role Overview
Part-time Machine Learning Analyst role supporting the evaluation, diagnosis, and improvement of advanced AI systems.
The work combines data analysis, machine learning outputs, production-like datasets, metrics, and evaluation workflows.
Key Skills for This Role
Full Job Posting
Role Overview
Part-time Machine Learning Analyst role supporting the evaluation, diagnosis, and improvement of advanced AI systems.
The work combines data analysis, machine learning outputs, production-like datasets, metrics, and evaluation workflows.
Location
- The role is remote.
Job Type
- 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 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 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 role supports benchmark-driven evaluation projects focused on real-world machine learning systems.
The analyst will collaborate with machine learning engineers and researchers to design challenging evaluation scenarios.
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