Data Engineer (Remote)

Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part-time basis. 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. Key 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 Required Skills & 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 • Demonstrated experience with data processing, analysis, and model-related workflows • Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows • Experience with code reviews to ensure high standards of code quality and maintainability More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems. Collaboration with researchers and engineers will focus on designing real-world data tasks for AI benchmarking. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

The role involves designing and validating data pipelines to support AI benchmarking and evaluation tasks. The candidate will process structured and unstructured datasets to improve the performance of advanced AI systems.

Requires at least 3 years of experience in data engineering, data science, or software engineering. Strong proficiency in Python and experience with model-related workflows and code reviews are essential.

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Python
• Data Engineering
• Data Science
• Data Pipeline Design
• Data Processing
• Data Analysis
• Feature Preparation
• Code Review
• Benchmarking
• AI Evaluation

• Data & Analytics
• Technology
• Software
• Engineering
• Science & Research

Minimum experience

3+ years

Posting language

English

Working hours

40 hours per week

Seniority

Associate