Role: SWE – Data Engineer / Data Scientist Type: Full-time Contract (3 months) Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Experience: 3+ years Availability -Full Time Availability (8 Hrs) and 4 hours overlap with PST time zone What is this role actually? This is a hands-on coding role. Candidates will work on real-world data engineering and data science tasks to test and evaluate AI systems. What does day-to-day life look like? 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. Requirements 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.