MLE Bench – Data Analyst

An older role: first posted 252d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

What the work is

Role Overview

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?

• 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.

Who gets hired

• 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.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
• Engagement Type: Contractor assignment (no medical/paid leave)

• Duration of Contract: 3 months (adjustable based on engagement)
• Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico

Evaluation Process

• Technical Interview with live coding challege (60 mins)

Pay

See listing, fully remote. How payouts and tax work.