Remote Data Engineer & Scientist for AI Benchmarking (Contract)

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 83,000 - 138,000; Part time

Benefits offered by this job

Work fully remote

Cutting-edge AI projects with leadingL

Commitments: 4 hours/day, 20 hours/wk;

Contractor assignment (no medical/paid

3-month contract

Job summary

Turing is seeking experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on data engineering and data science workflows. You will work with production-like datasets, data pipelines, and data science tasks to evaluate and improve AI systems.

The ideal candidate has strong foundations in data engineering and data science and can work across data preparation, analysis, and model-related workflows in real-world

Qualifications

• 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.

Responsibilities

• 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 tasks for AI systems.

Skills

Python

Data Engineering

Data Science

Code readability

English communication

Problem solving

Tools

Pipelines

Job description

Turing is seeking experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on data engineering and data science workflows. You will work with production-like datasets, data pipelines, and data science tasks to evaluate and improve AI systems.

The ideal candidate has strong foundations in data engineering and data science and can work across data preparation, analysis, and model-related workflows in real-world