Senior Data Analyst - Machine Learning Evaluation

About The Company

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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.

Qualifications

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.

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.
• Create clear, well-documented analytical artifacts and reproducible analysis workflows.

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench.
  
  

Benefits

Work in a fully remote environment, providing flexibility and work-life balance.

Opportunity to work on cutting-edge AI projects with leading language model companies and innovative teams.

Gain exposure to advanced machine learning evaluation techniques and contribute to impactful AI systems.

Engage with a global network of talented professionals and industry experts.

Enhance your skills and experience in a rapidly evolving technological landscape.

Equal Opportunity

Turing is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe in creating a welcoming environment where all talent can thrive and contribute to our shared mission.