Data Engineer for AI Research & Pipeline Automation

Aquent; Portland (OR); On-site; USD 110,000 - 150,000; Full time

Job summary

Aquent is partnering with a leading technology company that shapes how people interact with information. We seek a Data Engineer to build robust data pipelines, clean datasets, and create tools enabling researchers and engineers to accelerate AI model development.

You will collaborate with researchers, coordinate with a remote team to manage queues and quality, and contribute to data processing tasks essential for cutting-edge projects.

Qualifications

• Proven programming proficiency in Python for data collection, annotation, and processing.
• Experience building agentic data processing pipelines and data quality verification.
• Experience in data visualization and data analysis.
• Excellent communication with researchers and engineers to discuss data annotation with non-technical raters.

Responsibilities

• Design and implement data processing pipelines for comprehensive data analysis, visualization, and debugging.
• Ensure high data quality by cleaning, structuring, and cataloging raw datasets.
• Collaborate with researchers to deliver processed data outputs meeting project requirements.
• Coordinate with a remote team to manage annotation queues, analyze quality, and provide feedback to raters.

Skills

Python

Data pipelines

Data quality

Data analysis

Communication

Tools

Jupyter/Web UI

Data visualization

Job description

Aquent is partnering with a leading technology company that shapes how people interact with information. We seek a Data Engineer to build robust data pipelines, clean datasets, and create tools enabling researchers and engineers to accelerate AI model development.

You will collaborate with researchers, coordinate with a remote team to manage queues and quality, and contribute to data processing tasks essential for cutting-edge projects.