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fetchjobs.co
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 focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, designing and maintaining data pipelines, and performing data science tasks to evaluate and enhance the performance of cutting-edge AI systems. The ideal candidate will have a strong foundation in data engineering and data science, with the ability to work across various stages of data preparation, analysis, and model-related workflows within complex codebases.
Qualifications
Candidates should possess a minimum of 3+ years of experience as a Data Engineer, Data Scientist, or Software Engineer with a focus on data-related tasks. Proficiency in Python is essential, particularly for data engineering and data science workflows. Demonstrable experience with data processing, analysis, and model-related workflows is required. A solid understanding of machine learning fundamentals and data science principles is necessary, along with experience working with both structured and unstructured data. The ability to understand, navigate, and modify complex, real-world codebases is crucial. Candidates should also have a history of writing readable, reusable, and well-documented code, along with strong problem-solving skills, especially in algorithmic or data-intensive problems. Excellent spoken and written English communication skills are also essential for effective collaboration and documentation.
Responsibilities
- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks, ensuring data quality and relevance.
- Design, build, and validate data pipelines used in benchmarking and evaluation workflows to facilitate consistent and reliable assessments.
- Perform data processing, analysis, feature extraction, and validation to support data science use cases and model evaluation.
- Develop, run, and refine Python scripts to process datasets and support experimental workflows locally.
- Evaluate data quality, transformations, and outputs for correctness, reproducibility, and integrity.
- Create clean, well-documented, and reusable data workflows that can be integrated into benchmarking processes.
- Participate in code reviews to maintain high standards of code quality, efficiency, and maintainability.
- Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks that push the boundaries of AI evaluation systems.
Benefits
As a freelancer with Turing, you will enjoy the flexibility of working in a fully remote environment, allowing you to balance your professional and personal life effectively. You will have the opportunity to work on some of the most innovative AI projects alongside leading LLM companies, gaining exposure to cutting-edge technologies and methodologies. Turing provides a platform for talented professionals to expand their skills, collaborate with a global network of experts, and contribute to groundbreaking advancements in artificial intelligence. This role offers a competitive engagement structure, with flexible hours and the potential for ongoing projects based on performance and project needs.
Equal Opportunity
Turing is committed to creating an inclusive environment for all employees and freelancers. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, or any other protected characteristic. We believe diversity fosters innovation and drives better outcomes, and we welcome applicants from all backgrounds to join our team and contribute to our mission of advancing AI technology globally.
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