Remote Data Engineer

Role Overview: As a Software Engineer (SWE Bench Data Engineer / Data Science) at Turing, your main focus will be on contributing to benchmark-driven evaluation projects centered around real-world data engineering and data science workflows. You will be responsible for hands-on work with production-like datasets, data pipelines, and data science tasks to enhance the performance of advanced AI systems. Your role will require a strong foundation in data engineering and data science, enabling you to work across various data-related tasks within real-world codebases. Key Responsibilities: - Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks. - Design, build, and validate data pipelines for 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 facilitate experiments locally. - Evaluate data quality, transformations, and outputs to ensure correctness and reproducibility. - Develop clean, well-documented, and reusable data workflows suitable for benchmarking. - Participate in code reviews to uphold high standards of code quality and maintainability. - Collaborate with researchers and engineers to strategize challenging, real-world data engineering and data science tasks for AI systems. Qualifications Required: - Minimum 3+ years of overall experience as a Data Engineer, Data Scientist, or Software Engineer (data-focused). - Strong proficiency in Python for data engineering and data science workflows. - Demonstrable experience with data processing, analysis, and model-related workflows. - Solid understanding of machine learning and data science fundamentals. - Experience working with structured and unstructured data. - Ability to comprehend, navigate, and modify complex, real-world codebases. - Proven track record of writing readable, reusable, maintainable, and well-documented code. - Strong problem-solving skills, including tackling algorithmic or data-intensive problems. - Excellent spoken and written English communication skills. Perks of Freelancing With Turing: - Work in a fully remote environment. - Opportunity to work on cutting-edge AI projects with leading LLM companies. (Note: No additional details about the company were provided in the job description) Role Overview: As a Software Engineer (SWE Bench Data Engineer / Data Science) at Turing, your main focus will be on contributing to benchmark-driven evaluation projects centered around real-world data engineering and data science workflows. You will be responsible for hands-on work with production-like datasets, data pipelines, and data science tasks to enhance the performance of advanced AI systems. Your role will require a strong foundation in data engineering and data science, enabling you to work across various data-related tasks within real-world codebases. Key Responsibilities: - Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks. - Design, build, and validate data pipelines for 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 facilitate experiments locally. - Evaluate data quality, transformations, and outputs to ensure correctness and reproducibility. - Develop clean, well-documented, and reusable data workflows suitable for benchmarking. - Participate in code reviews to uphold high standards of code quality and maintainability. - Collaborate with researchers and engineers to strategize challenging, real-world data engineering and data science tasks for AI systems. Qualifications Required: - Minimum 3+ years of overall experience as a Data Engineer, Data Scientist, or Software Engineer (data-focused). - Strong proficiency in Python for data engineering and data science workflows. - Demonstrable experience with data processing, analysis, and model-related workflows. - Solid understanding of machine learning and data science fundamentals. - Experience working with structured and unstructured data. - Ability to comprehend, navigate, and modify complex, real-world codebases. - Proven track record of writing readable, reusable, maintainable, and well-documented code. - Strong problem-solving skills, including tackling algorithmic or data-intensive problems. - Excellent spoken and written English communication skills. Perks of Freelancing With Turing: - Work in a fully remote environment. - Opportunity to work on cutting-edge AI projects with leading LLM companies. (Note: No additional details about the company were provided in the job description)