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Job details:
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 seeking experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to join our team and contribute to benchmark-driven evaluation projects. This role focuses on real-world data engineering and data workflows, involving hands-on work with production-like datasets, data pipelines, and analysis tasks. The primary goal is to evaluate and enhance the performance of advanced AI systems through rigorous data handling and scientific analysis. The ideal candidate will have a solid foundation in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows within complex codebases. This position offers an exciting opportunity to work with cutting-edge AI projects, supporting the development and evaluation of systems that push technological boundaries.
Qualifications
The successful candidate will possess a minimum of 3+ years of professional experience as a Data Engineer, Data Scientist, or Software Engineer with a focus on data workflows. Proficiency in Python is essential for data processing, analysis, and pipeline development. Demonstrable experience with handling structured and unstructured data, along with a strong understanding of machine learning and data science fundamentals, is required. Candidates should have the ability to navigate and modify complex, real-world codebases, producing readable, reusable, and well-documented code. Excellent problem-solving skills, especially related to algorithmic or data-intensive challenges, are vital. Strong communication skills in English, both spoken and written, are also necessary to collaborate effectively with team members and stakeholders.
Responsibilities
- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.
- Design, build, and validate data pipelines used in benchmarking and evaluation workflows.
- Perform data processing, analysis, feature preparation, and validation for data science use cases.
- Write, run, and modify Python code to process data and support experiments locally.
- Evaluate data quality, transformations, and outputs for correctness and reproducibility.
- Create clean, well-documented, and reusable data workflows suitable for benchmarking.
- Participate in code reviews to ensure high standards of code quality and maintainability.
- Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.
Benefits
Joining Turing as a freelancer offers the flexibility of working in a fully remote environment, enabling you to balance your professional and personal commitments. You will have the opportunity to work on innovative AI projects alongside leading LLM companies, gaining exposure to the latest advancements in AI technology. This role provides a platform to enhance your skills, expand your professional network, and contribute to impactful projects shaping the future of artificial intelligence.
Equal Opportunity
Turing is committed to fostering an inclusive and diverse workplace. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, gender, ethnicity, age, disability, or sexual orientation. We believe that diverse perspectives lead to better innovation and stronger teams. All qualified candidates will be considered for employment without regard to any protected characteristic.
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