Remote Data Engineer - 60713

Turing; Hyderabad; Remote; INR 5,273,000 - 9,228,000; Part time

Benefits offered by this job

Fully remote work environment

Opportunity to work on cutting-edge AI projects

Flexible hours with at least 20 hours per week

Job summary

A leading AI research accelerator is seeking a Data Engineer/Data Scientist for benchmark-driven projects involving real-world data workflows. The ideal candidate will have a minimum of 3 years of experience, strong Python skills, and a solid understanding of machine learning. Responsibilities include designing data pipelines, performing data analysis, and collaborating with AI researchers. This role is fully remote and requires a commitment of at least 20 hours per week.

Qualifications

• Minimum 3+ years of experience as a Data Engineer, Data Scientist, or Software Engineer.
• Strong proficiency in Python for data workflows.
• Experience with data processing, analysis, and machine learning.
• Solid understanding of machine learning and data science fundamentals.
• Experience working with structured and unstructured data.
• Ability to navigate and modify complex, real-world codebases.
• Writings readable, reusable, maintainable code and good documentation.
• Strong problem-solving skills for data-intensive problems.

Responsibilities

• Work with structured and unstructured datasets.
• Design, build, and validate data pipelines.
• Perform data processing and analysis for data science.
• 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 for benchmarking.
• Participate in code reviews to ensure high standards of code quality and maintainability.
• Collaborate with researchers and engineers to design real-world data tasks for AI systems.

Skills

Python

Data processing

Data analysis

Machine learning fundamentals

Problem-solving skills

English communication

Code readability

English communication

Tools

Jupyter

Git

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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