Information Extraction Specialist

About the role

The Information Extraction Specialist will design, build, and maintain pipelines that transform unstructured and semi‑structured data into structured, actionable datasets. Working remotely, you will collaborate with cross‑functional teams to ensure high‑quality extraction across domains such as legal, medical, financial, and technical documentation.

Key responsibilities

• Design and implement end‑to‑end information extraction pipelines for diverse document types.
• Lead the creation of training datasets, define sampling strategies, and manage annotation teams.
• Evaluate model performance using precision, recall, F1 and iterate on guidelines, data, or architecture.
• Assess, integrate, and customize open‑source and commercial extraction tools.
• Develop scripts and automated workflows to streamline extraction processes.
• Adapt extraction systems to new domains, quickly acquiring domain knowledge and updating guidelines.

Required profile

• Minimum 5 years of experience in information extraction, NLP, or computational linguistics.
• Strong proficiency in Python for data analysis and NLP tasks.
• Experience designing annotation schemas and clear, unambiguous extraction guidelines.
• Deep understanding of evaluation metrics (precision, recall, F1) and error analysis.
• Excellent written and verbal communication in English.

Required skills

• Python
• spaCy
• NLTK
• Hugging Face Transformers
• Stanford CoreNLP