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.
- Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench.
Benefits
Working as a freelancer with Turing offers the flexibility of a fully remote environment, allowing you to work from anywhere. You will have the opportunity to engage in cutting-edge AI projects with leading large language model (LLM) companies, gaining valuable experience in the rapidly evolving AI landscape. Turing provides a platform for professional growth, exposure to innovative technologies, and the chance to contribute to impactful AI solutions that shape the future of technology.
Equal Opportunity
Turing is committed to fostering an inclusive environment and is proud to be an equal opportunity employer. We celebrate diversity and are dedicated to creating an equitable workplace where all individuals are valued and respected, regardless of race, gender, age, disability, sexual orientation, or background. We believe that diverse teams drive innovation and excellence, and we encourage candidates from all backgrounds to apply.
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