Data Analyst (MLE Bench)

About The Company

Turing is headquartered in San Francisco, California, and stands at the forefront of research acceleration in the field of frontier artificial intelligence. As a trusted partner for global enterprises, Turing specializes in deploying advanced AI systems that transform business operations and drive measurable results. The company’s core mission is to support cutting-edge AI research by providing high-quality data, sophisticated training pipelines, and expert AI researchers skilled in coding, reasoning, STEM disciplines, multilinguality, multimodality, and autonomous agents. Through its innovative approach, Turing bridges the gap between research and practical application, enabling organizations to harness the power of AI for competitive advantage and operational excellence.

About The Role

We are seeking experienced Data Analysts (MLE Bench) to join our dynamic team and contribute to benchmark-driven evaluation projects centered on real-world machine learning systems. This role involves engaging with production-like datasets, analyzing metrics, and evaluating ML outputs to diagnose system performance, identify failure modes, and suggest improvements. The ideal candidate will have a deep understanding of data analysis combined with practical experience in machine learning evaluation workflows. This position offers a unique opportunity to work on impactful projects that shape the future of AI systems and contribute to the advancement of machine learning benchmarks.

Qualifications

The successful candidate will possess a minimum of three years of experience as a Data Analyst or an analytics-focused engineer. Strong proficiency in Python for data analysis, along with solid experience in SQL and relational databases, is essential. Candidates should have a proven track record of analyzing machine learning outputs and evaluation metrics, complemented by a strong understanding of statistics and analytical reasoning. The ability to handle large and complex datasets, extract reliable insights, and produce clean, well-documented analytical code is critical. Excellent communication skills in English, both written and spoken, are required to facilitate effective collaboration and reporting.

Responsibilities

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• Analyze structured and unstructured datasets generated from machine learning training, inference, and evaluation pipelines to extract meaningful insights.
• Define, compute, and validate evaluation metrics that measure model performance and behavior accurately.
• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks to identify areas for improvement.
• Develop and execute Python and SQL scripts to analyze data, generate reports, and support evaluation workflows.
• Ensure data quality, consistency, and correctness across multiple datasets and experimental runs.
• Create clear, comprehensive, and well-documented analytical artifacts and workflows to facilitate reproducibility and transparency.

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

Benefits

Joining Turing as a freelance Data Analyst offers the flexibility of working in a fully remote environment, allowing you to balance your professional and personal commitments. You will have the opportunity to work on cutting-edge AI projects with leading language model companies, gaining exposure to the latest advancements in artificial intelligence. This role provides a platform to enhance your skills in a fast-paced, innovative setting, and to contribute to impactful research and development initiatives within the AI community.

Equal Opportunity

Turing is committed to fostering an inclusive and diverse work environment. We believe that different perspectives and backgrounds drive innovation and excellence. We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, gender, age, religion, sexual orientation, disability, or any other characteristic protected by law. Our hiring process is designed to be fair, transparent, and based solely on merit and qualifications.