Remote Data Engineer

Job Description

Role Overview:You will be an experienced Software Engineer (SWE Bench Data Engineer / Data Science) contributing to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. Your role will involve hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate should have strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.Key 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.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 understand, navigate, and modify complex, real-world codebases.- Experience writing readable, reusable, maintainable, and well-documented code.- Strong problem-solving skills, including experience with algorithmic or data-intensive problems.- Excellent spoken and written English communication skills.Additional Company Details:Turing is the worlds leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers by accelerating frontier research with high-quality data, advanced training pipelines, and top AI researchers specializing in various fields. Additionally, Turing applies its expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that deliver measurable impact and drive lasting results on the P&L.Perks of Freelancing With Turing:- Work in a fully remote environment.- Opportunity to work on cutting-edge AI projects with leading LLM companies. Role Overview:You will be an experienced Software Engineer (SWE Bench Data Engineer / Data Science) contributing to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. Your role will involve hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate should have strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.Key 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.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 understand, navigate, and modify complex, real-world codebases.- Experience writing readable, reusable, maintainable, and well-documented code.- Strong problem-solving skills, including experience with algorithmic or data-intensive problems.- Excellent spoken and written

Keyskills :
PythonData EngineeringData ScienceMachine LearningProblemsolvingAlgorithmic