This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems.

The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Duration of Contract: 3 months (adjustable based on engagement).

• 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.

• Minimum 3+ years of overall experience as a Data Engineer, Data Scientist, or Software Engineer (data-focused).

Evaluation Process

• Technical Interview with live coding challege (60 mins).

Work arrangement: Fully remote

Applicant eligibility: 10 eligible countries

Engagement Type: Contractor assignment (no medical/paid leave).