This job post has expired on April 01, 2026. It is likely that the position has already been filled.
SWE Bench – Data Engineer/Scientist at Turing
posted 7 months agoSWE Bench Data Engineer / Data Scientist | Contractor | Remote (India, Brazil, Mexico, Nigeria & more)
Turing is seeking experienced Data Engineers and Data Scientists to contribute to benchmark-driven AI evaluation projects. You'll work on real-world data pipelines and data science workflows that help measure and improve the performance of cutting-edge AI systems. This is a part-time contractor role requiring a minimum of 20 hours per week with 4 hours of PST overlap.
About Turing
Based in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI. Turing specializes in high-quality data, advanced training pipelines, and top-tier AI research across coding, reasoning, STEM, multilinguality, multimodality, and agents.
Key Responsibilities
- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.
- Design, build, and validate data pipelines for benchmarking and evaluation workflows.
- Perform data processing, 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 maintain high standards of quality and maintainability.
- Collaborate with researchers and engineers to design challenging real-world data tasks for AI evaluation.
Requirements
- 3+ 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.
- Solid experience with data processing, analysis, and model-related workflows.
- Strong understanding of machine learning and data science fundamentals.
- Experience working with both structured and unstructured data.
- Ability to navigate and modify complex, real-world codebases.
- Excellent written and spoken English communication skills.
Engagement Details
- Type: Contractor (no medical/paid leave)
- Duration: 3 months (adjustable based on engagement)
- Commitment: Minimum 20 hrs/week with 4 hrs daily PST overlap
- Eligible Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Evaluation Process
- Technical interview with a live coding challenge (60 minutes)