AI/ML Data Curation & IV&V Engineer

The Applied Research Laboratory at Penn State University; Reston (VA); On-site; USD 111,000 - 241,000; Full time

Benefits offered by this job

75% tuition discount

Job summary

The Applied Research Laboratory at Penn State University is seeking an AI/ML Engineer to join the IV&V and Data Curation Center of Excellence. You will label, annotate, and curate multi-modal datasets, build data pipelines, and establish data governance across projects.

Working with researchers and program stakeholders, you will ensure data quality, provenance, and reproducibility for AI/ML environments, using Python, SQL, CVAT, Label Studio, and cloud-based tools in an Agile setting.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Information Science, Engineering, or a related technical field.
• Proficiency in Python and SQL for data manipulation, analysis, and pipeline development.
• Familiarity with data annotation tools and workflows (CVAT, Label Studio, or equivalent).
• Understanding of machine learning concepts, including how data quality impacts model training, evaluation, and deployment.

Responsibilities

• Label, annotate, and curate multi-modal datasets to support AI/ML model development and evaluation.
• Design and implement data pipelines for ingestion, transformation, quality control, and cataloging of data.
• Develop and maintain annotation standards, labeling guidelines, and data governance processes for consistency.
• Conduct IV&V of datasets and model outputs to ensure data integrity and fitness for intended use.
• Collaborate with researchers and program stakeholders to identify data requirements for AI/ML projects.

Skills

Python

SQL

CVAT

Label Studio

ML concepts

Education

Bachelor's Degree in Computer Science, Data Science, Information Science, Engineering, or a related technical field

Tools

Docker

Kubernetes

AWS

Azure

Job description

The Applied Research Laboratory at Penn State University is seeking an AI/ML Engineer to join the IV&V and Data Curation Center of Excellence. You will label, annotate, and curate multi-modal datasets, build data pipelines, and establish data governance across projects.

Working with researchers and program stakeholders, you will ensure data quality, provenance, and reproducibility for AI/ML environments, using Python, SQL, CVAT, Label Studio, and cloud-based tools in an Agile setting.