Information Extraction Specialist

About the role

The Information Extraction Specialist will design and operate pipelines that turn unstructured and semi‑structured data into clean, structured datasets. Working remotely, you will collaborate with cross‑functional teams to support domains such as legal, medical, finance, news, and technical documentation.

Key responsibilities

• Design and implement extraction pipelines for diverse document types, including contracts, medical records, financial reports, news articles, and technical manuals.
• Create and manage high‑quality training datasets, define sampling strategies, lead annotation teams, and ensure rigorous quality assurance.
• Evaluate model performance using precision, recall, and F1 metrics; analyse errors and iterate on guidelines, data, or model architecture.
• Assess, select, and integrate open‑source or commercial extraction tools and platforms.
• Develop scripts and automated workflows to streamline the extraction process.
• Adapt extraction systems to new domains quickly, building accurate guidelines and domain knowledge.

Required profile

• Minimum 5 years of experience in information extraction, NLP, computational linguistics, or related fields.
• Strong analytical mindset with proven ability to diagnose model errors and propose data‑driven improvements.
• Excellent written and verbal communication in English, capable of documenting complex guidelines clearly.
• Experience leading annotation projects and defining clear, unambiguous extraction schemas.

Required skills

• Python programming for data analysis and NLP tasks.
• Proficiency with NLP libraries such as spaCy, NLTK, Hugging Face Transformers, and Stanford CoreNLP.