Remote NLP Information Extraction Engineer

Odixcity Consulting; España; A distancia; EUR 60.669 - 104.004; Jornada completa

Descripción de la vacante

A global consulting firm is seeking an Information Extraction Specialist to work remotely. This role involves extracting and structuring data from unstructured sources using advanced techniques, including natural language processing and machine learning. Candidates should have at least 5 years of experience in relevant fields and proficiency in Python and NLP libraries. Strong communication skills and problem-solving abilities are essential. This is an opportunity to apply your expertise in a diverse and dynamic environment.

Formación

• 5+ years in Information Extraction, NLP, or related fields.
• Strong Python skills for data analysis and NLP tasks.
• Experience in designing annotation schemas for extractions.

Responsabilidades

• Design information extraction pipelines for document types.
• Oversee high-quality training datasets creation.
• Evaluate and implement extraction tools and platforms.

Conocimientos

Information Extraction

Natural Language Processing

Python

Data Analysis

Problem-solving

Communication Skills

Herramientas

spaCy

NLTK

Hugging Face Transformers

Stanford CoreNLP

Descripción del empleo

Job Title: Information Extraction Specialist

Location: Remote (Worldwide)

Job Summary: 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 involves applying natural language processing (NLP), machine learning models, rule-based systems, and data processing techniques to convert raw information into structured, usable datasets.

Responsibilities

• Design and implement information extraction pipelines for diverse document types, including legal contracts, medical records, financial reports, news articles, and technical documentation.
• Oversee the creation of high-quality training datasets for extraction models. This includes defining sampling strategies, managing annotation teams, conducting quality assurance, and resolving ambiguous cases.
• Evaluate extraction model performance using metrics such as precision, recall, and F1 score. Analyze model errors, identify root causes, and iterate on guidelines, training data, or model architecture to improve results.
• Evaluate and implement information extraction tools and platforms (open-source and commercial). Develop scripts and workflows to automate aspects of the extraction pipeline.
• Adapt extraction systems to new domains or document types, rapidly acquiring the necessary domain knowledge to create accurate guidelines.
  
  

Requirements

• Minimum of 5 years of experience in Information Extraction, Natural Language Processing, Computational Linguistics, or relating fields.
• Experience with Python for data analysis and NLP tasks. Familiarity with NLP libraries such as spaCy, NLTK, Hugging Face Transformers, or Stanford CoreNLP.
• Proven experience designing annotation schemas and guidelines for complex extractions tasks. Ability to anticipate edge cases and create clear, unambiguous instructions.
• Deep understanding of evaluation methodologies for extraction tasks. Experience calculating and interpreting precision, recall, F1, and other relevant metrics.
• Strong problem-solving skills with ability to analyze model errors, identify patterns, and propose data-driven solutions.
• Excellent written and verbal communication skills in English. Ability to document complex guidelines clearly and explain technical concepts to diverse stakeholders.