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About The Company
Turing, headquartered in San Francisco, California, is recognized as the world’s leading research accelerator for frontier artificial intelligence labs. As a trusted partner to global enterprises, Turing specializes in deploying advanced AI systems that drive innovation and business growth. The company’s core mission is to accelerate frontier research by providing high-quality data, sophisticated training pipelines, and access to top-tier AI researchers with expertise spanning coding, reasoning, STEM, multilinguality, multimodality, and intelligent agents. Additionally, Turing leverages this expertise to help enterprises transition AI from proof of concept to proprietary, reliable, and impactful systems that deliver measurable results and enhance profitability. With a focus on pushing the boundaries of AI technology, Turing is committed to fostering innovation and supporting the development of next-generation AI solutions across industries.
About The Role
We are seeking experienced Data Analysts, specifically those with a focus on Machine Learning Evaluation Benchmarks (MLE Bench), to join our dynamic team. In this role, you will contribute to benchmark-driven evaluation projects centered on real-world machine learning systems. Your primary responsibility will involve hands-on analysis of production-like datasets, metrics, and ML outputs to assess, diagnose, and enhance the performance of cutting-edge AI systems. This position offers an exciting opportunity to work closely with ML engineers and researchers, helping to shape evaluation frameworks that ensure AI models are robust, reliable, and aligned with real-world demands.
The ideal candidate will possess a strong analytical mindset, with the ability to work at the intersection of data analysis and machine learning. You should be comfortable handling complex datasets, developing metrics, and creating reproducible workflows that support ongoing evaluation efforts. Your insights will directly influence the development and refinement of AI models, ensuring they meet high standards of performance and reliability.
Qualifications
- Minimum of 3+ years of experience as a Data Analyst or an analytics-focused engineer.
- Proficiency in Python for data analysis, including experience with data manipulation, visualization, and scripting.
- Solid experience with SQL and working with relational databases to extract and analyze data.
- Experience analyzing machine learning outputs and evaluating model performance metrics.
- Strong understanding of statistical principles and analytical reasoning.
- Ability to work effectively with large, complex datasets and derive reliable insights.
- Proven track record of writing clean, well-documented, and reproducible analytical code.
- Excellent communication skills in spoken and written English, with the ability to clearly articulate findings and collaborate across teams.
Responsibilities
- Analyze structured and unstructured datasets generated from machine learning training, inference, and evaluation pipelines to identify patterns, issues, and opportunities for improvement.
- Define, compute, and validate evaluation metrics that accurately reflect model performance and behavior across various benchmark tasks.
- Investigate data distributions, model outputs, failure modes, and edge cases to understand model limitations and robustness.
- Develop and run Python and SQL scripts to support data analysis, generate reports, and facilitate evaluation workflows.
- Validate data quality, consistency, and correctness across multiple datasets and experimental results to ensure reliability.
- Create comprehensive, well-documented analytical artifacts and workflows that can be reproduced and scaled.
- Collaborate with machine learning engineers and researchers to design challenging, real-world evaluation scenarios that push the boundaries of current AI capabilities.
- Continuously monitor and improve evaluation processes to ensure alignment with project goals and industry standards.
Benefits
Joining Turing as a freelance Data Analyst offers the flexibility of working remotely from anywhere in the world, providing a balanced work-life environment. You will have the opportunity to engage with some of the most innovative AI projects, collaborating with leading language model companies and cutting-edge research teams. This role allows you to expand your expertise in machine learning evaluation, contribute to impactful AI systems, and stay at the forefront of technological advancements. Additionally, Turing provides a supportive community of professionals, access to continuous learning resources, and the chance to build a diverse portfolio of high-profile projects that can enhance your career trajectory.
Equal Opportunity
Turing is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We celebrate diversity and are dedicated to creating a workplace that respects and values individual differences. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that diverse teams drive innovation and excellence, and we welcome applicants from all backgrounds to join us in shaping the future of AI technology.
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