Job Description

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 challe...

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