Role Overview:
Our client is a leading technology company looking for a detail-oriented Content Strategist to support its AI-driven content understanding initiatives.
In this role, you will help maintain and improve structured datasets, validate AI-generated information, enhance content classification processes, and ensure data accuracy and consistency. You will collaborate with cross-functional teams to prioritize requests, optimize workflows, and support continuous improvements in AI-powered automation.
Required Skills:
- Experience with Data Labeling / Data Annotation, particularly for AI model training, evaluation, or data quality improvement.
- Strong understanding of Data Curation, including organizing, cleaning, validating, and enriching datasets.
- Experience with Data Quality Assurance, identifying inconsistencies, duplicates, and inaccuracies in structured data.
- Familiarity with LLMs and Generative AI, including AI-generated content validation, hallucination detection, and model evaluation.
- Experience with Taxonomy and Data Classification, including categorizing information and understanding relationships between entities.
- Strong analytical skills to prioritize tasks based on business impact, urgency, and feasibility.
- Exceptional attention to detail and problem-solving skills.
- Excellent communication skills to collaborate with Product, Engineering, Analytics, and other stakeholders.
- Proficiency with spreadsheets (Excel or Google Sheets), ticketing systems (such as Jira), and the ability to quickly learn internal tools.
Bonus Skills:
- Understanding of Knowledge Graph fundamentals, including nodes, edges, properties, entities, and relationships.
- Experience with Ontology Management and semantic relationships between entities.
- Experience with Prompt Engineering and optimization of LLM-generated outputs.
- Familiarity with SQL, SPARQL, or Cypher for querying structured or graph-based data.
- Hands-on experience with Graph Databases, such as Neo4j or Amazon Neptune.
- Experience creating Golden Datasets for evaluating and improving machine learning models.
- Background in advertising technology, entity extraction, or large-scale content understanding systems.
Offer Details:
- Remote
- Full-time dedication (40 hours/week) with 4 hours overlap with Spain
- Location: LATAM and Europe
Important note: Due to the high volume of applications, we are unable to provide individual feedback at this stage. Only candidates shortlisted for the next steps will be contacted by our team.