About the Role
Position: SWE Bench – Data Engineer / Data Scientist Type: Hourly contract Location: Remote Commitment: 20–40 hours/week Role Responsibilities Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks. Design, build, and validate data pipelines used 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 datasets and support local experimentation. Evaluate data transformations and outputs for correctness, consistency, and reproducibility. Create clean, reusable, and well-documented workflows suitable for real-world benchmarking. Participate in code reviews to maintain high engineering standards and code quality. Collaborate with researchers and engineers to design challenging data engineering and data science tasks for AI systems. Requirements Strong years of experience as a Data Engineer, Data Scientist, or data-focused So...
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