Remote Data Scientist - 60713

Turing; India; Remote; INR 5,273,000 - 7,910,000; Part time

Benefits offered by this job

Fully remote environment

Work on cutting-edge AI projects

Flexible working hours

Job summary

A leading AI research accelerator is seeking an experienced Data Engineer / Data Scientist. This remote role involves designing data pipelines, processing datasets, and analyzing data for AI system evaluations. Ideal candidates will have over 3 years of relevant experience and strong Python skills. Responsibilities include ensuring data quality, collaborating with engineers, and creating reusable workflows. Join an innovative team and work on cutting-edge AI projects.

Qualifications

• Minimum 3+ years of experience in Data Engineering, Data Science, or Software Engineering.
• Strong proficiency in Python for data workflows.
• Experience with structured and unstructured data.
• Ability to work with complex codebases.
• Good written and spoken English.

Responsibilities

• Work with structured and unstructured datasets for evaluations.
• Design and validate data pipelines.
• Process and analyze data for science use cases.
• Write and modify Python code for data processing.
• Evaluate data quality, transformations, and outputs for correctness.
• Create clean, reusable data workflows for benchmarking.
• Participate in code reviews to maintain quality and maintainability.
• Collaborate with researchers and engineers on real-world tasks for AI systems.

Skills

Data processing

Python

Problem-solving

Data analysis

Machine learning fundamentals

Tools

Git

Jupyter

Pandas

SQL

Job description

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 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.
• 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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