Software Engineer | Remote

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 Software Engineer.
• Strong proficiency in Python for data engineering and data science workflows.
• Practical experience with data processing, analytics, and ML-related workflows.
• Solid understanding of machine learning and data science fundamentals.
• Experience working with both structured and unstructured data.
• Ability to navigate, understand, and modify complex production-style codebases.
• Strong coding practices with emphasis on readability, maintainability, and documentation.
• Excellent problem-solving skills, including experience with data-intensive or algorithmic challenges.
• Strong written and spoken English communication skills.

Application Process

• Upload resume
• Technical Interview