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MLE Bench – Data Analyst
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About the Role
We are looking for experienced Data Analysts (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows. What does day-to-day life look like?
What You'll Do
- 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.
- Create clear, well-documented analytical artifacts and reproducible analysis workflows.
- Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench.
You're a Good Fit If You
- Required skills: Machine Learning, Python, Data Analysis
- Minimum 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.
- Ability to work with large, complex datasets and draw reliable insights.
- Experience writing clean, readable, and well-documented analytical code.
- Excellent spoken and written English communication skills.
Role Highlights
Pay & Payout
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
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