Machine Learning Evaluation Analyst

About The Company

Turing, headquartered in San Francisco, California, stands at the forefront of artificial intelligence research and development. As the world's leading research accelerator for frontier AI labs, Turing collaborates with global enterprises to deploy advanced AI systems that transform industries and redefine technological capabilities. The company specializes in accelerating cutting-edge research by providing high-quality data, sophisticated training pipelines, and access to top-tier AI researchers with expertise spanning coding, reasoning, STEM fields, multilinguality, multimodality, and autonomous agents. Turing's mission is to bridge the gap between innovative AI research and practical enterprise applications, ensuring that AI solutions are reliable, impactful, and capable of delivering measurable results that enhance business performance and profitability.

About The Role

We are seeking experienced Data Analysts, specifically those with a background in Machine Learning Evaluation (MLE Bench), to join our dynamic team. This role is pivotal in driving benchmark-driven evaluation projects focused on real-world machine learning systems. The successful candidate will engage in hands-on analytical work, utilizing production-like datasets, metrics, and ML outputs to assess and enhance the performance of advanced AI models. This position offers an excellent opportunity to work at the intersection of data analysis and machine learning, contributing to the development of robust evaluation frameworks that inform model improvements and operational excellence.

Qualifications

The ideal candidate will possess a minimum of three years of experience as a Data Analyst or an analytics-focused engineer. Proficiency in Python is essential, particularly for data analysis tasks, along with solid experience in SQL and working with relational datasets. Candidates should have a proven track record of analyzing ML outputs and evaluation metrics, demonstrating a strong understanding of statistics and analytical reasoning. The ability to work with large, complex datasets and extract reliable insights is crucial. Additionally, candidates must be adept at writing clean, well-documented analytical code and possess excellent communication skills in English, both spoken and written.

Responsibilities

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• Analyze structured and unstructured datasets generated from machine learning training, inference, and evaluation pipelines to identify patterns, anomalies, and insights.
• Define, compute, and validate metrics used for evaluating model performance, behavior, and robustness across various benchmark tasks.
• Investigate data distributions, model outputs, failure modes, and edge cases to understand model limitations and areas for improvement.
• Develop and execute Python and SQL scripts to analyze data, generate reports, and support evaluation workflows, ensuring reproducibility and accuracy.
• Validate data quality, consistency, and correctness across multiple datasets and experimental setups to maintain high standards of analytical integrity.
• Create comprehensive, well-documented analytical artifacts and workflows that facilitate reproducibility and collaborative review.

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• Collaborate closely with ML engineers and researchers to design challenging, real-world evaluation scenarios that push the boundaries of current AI systems.
  
  

Benefits

Joining Turing as a freelancer provides the flexibility of a fully remote work environment, enabling you to contribute from anywhere in the world. You will have the opportunity to work on cutting-edge AI projects alongside leading LLM companies, gaining invaluable experience in the rapidly evolving field of artificial intelligence. Turing offers a platform for professional growth, exposure to innovative technologies, and the chance to be part of a global network of talented professionals dedicated to advancing AI research and application.

Equal Opportunity

Turing is committed to fostering an inclusive workplace that values diversity and equal opportunity. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse teams drive innovation and excellence, and we encourage candidates from all backgrounds to apply. Our hiring practices ensure fairness and equity, and we strive to create an environment where every individual can thrive and contribute to our shared mission of advancing frontier AI research and deployment.