AI/ML Data Curation & IV&V Engineer

The Pennsylvania State University; United States; Vor Ort; USD 111.000 - 241.000; Vollzeit

Zusammenfassung

The Pennsylvania State University’s Applied Research Laboratory seeks an AI/ML Engineer to join the IV&V and Data Curation Center of Excellence within the Information Science Division of the All-Domain Analytics and Signatures Office. You will work on multi-modal data in a secure environment to support advanced AI/ML research.

You will label and curate datasets, build data pipelines, ensure data provenance, and collaborate with researchers using Python/SQL and tools like CVAT, Label Studio,

Qualifikationen

• Bachelor's degree in Computer Science, Data Science, Information Science, Engineering or related field.
• Proficiency in Python and SQL for data manipulation and pipeline development.
• Familiarity with data annotation tools such as CVAT or Label Studio.
• Understanding of machine learning concepts and data quality impact on models.

Aufgaben

• Label, annotate, and curate multi-modal datasets to support AI/ML model development.
• Design data pipelines for ingestion, transformation, QC, and cataloging of data.
• Develop annotation standards and governance for reproducibility.
• Conduct IV&V of datasets and model outputs for data integrity.
• Collaborate with researchers and stakeholders to prioritize data needs.
• Build data catalogs, metadata schemas, and access-controlled repositories.
• Use Python, SQL, and annotation platforms to automate labeling workflows.
• Document data provenance, lineage, and limitations for reproducibility.

Kenntnisse

Python

SQL

ML fundamentals

Data governance

Agile collaboration

Ausbildung

Bachelor's degree in CS/DS/IS/Engineering

Tools

CVAT

Label Studio

Docker

Kubernetes

Jobbeschreibung

The Pennsylvania State University’s Applied Research Laboratory seeks an AI/ML Engineer to join the IV&V and Data Curation Center of Excellence within the Information Science Division of the All-Domain Analytics and Signatures Office. You will work on multi-modal data in a secure environment to support advanced AI/ML research.

You will label and curate datasets, build data pipelines, ensure data provenance, and collaborate with researchers using Python/SQL and tools like CVAT, Label Studio,