Information Extraction Specialist

About the role

We are looking for an Information Extraction Specialist to design, build and maintain extraction pipelines that turn unstructured text and multimedia sources into structured, high‑quality datasets. The role is fully remote and serves clients across multiple domains such as legal, medical, finance and technical documentation.

Key responsibilities

• Design and implement end‑to‑end information extraction pipelines for diverse document types, including contracts, medical records, financial reports and news articles.
• 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, analyse errors and iterate on guidelines, data or model architecture.
• Assess, integrate and customise open‑source and commercial extraction tools and platforms.
• Develop scripts and automated workflows to streamline the extraction process and adapt solutions to new domains quickly.

Required profile

• Minimum 5 years of experience in information extraction, NLP or computational linguistics.
• Proficiency in Python for data analysis and NLP tasks.
• Hands‑on experience with NLP libraries such as spaCy, NLTK, Hugging Face Transformers or Stanford CoreNLP.
• Proven ability to design annotation schemas, write clear guidelines and manage ambiguous cases.
• Strong understanding of evaluation metrics (precision, recall, F1) and data‑driven error analysis.
• Excellent written and verbal communication in English.

Required skills

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