Remote Data Engineer

Position: Remote Data Engineer - 60713
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview :
We are looking for experienced  Software Engineers (SWE Bench – Data Engineer / Data Science)  to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. 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.

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 .

Perks of Freelancing With Turing:
Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:
Commitments

Required:

At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
Engagement Type:  Contractor assignment (no medical/paid leave)
Duration of

Contract:

3 months (adjustable based on engagement)

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

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