Information Extraction Specialist

About the role

An Information Extraction Specialist is responsible for identifying, extracting, structuring, and validating relevant data from unstructured and semi‑structured sources such as documents, reports, web content, databases, and multimedia files. The role combines natural language processing, machine learning, and rule‑based techniques to turn raw information into usable, structured datasets.

Key responsibilities

• Design and implement information extraction pipelines for diverse document types, including legal contracts, medical records, financial reports, news articles, and technical documentation.
• 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, identify root causes, 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 by acquiring domain knowledge and updating guidelines.

Required profile

• Minimum 5 years of experience in information extraction, NLP, computational linguistics, or related fields.
• Strong problem‑solving skills with a proven ability to analyse model errors and propose data‑driven improvements.
• Excellent written and verbal communication in English, capable of documenting complex guidelines clearly.

Required skills

• Python programming.
• Experience with NLP libraries such as spaCy, NLTK, Hugging Face Transformers, and Stanford CoreNLP.