Detail-oriented and analytical professional with a strong background in data review and linguistic analysis, dedicated to training next-generation AI systems. Proven ability to interpret complex instructions and apply them consistently across large, diverse datasets while maintaining the highest levels of data integrity.
Expert at working independently in remote environments, managing priorities effectively, and providing constructive feedback to optimize workflows and annotation tools.
Review, validate, and correct data annotations to maintain rigorous data integrity for machine learning applications. Collaborate closely with cross-functional teams to clarify project requirements, resolve ambiguities, and document annotation processes for transparency.
Provided detailed feedback to optimize internal annotation tools, workflows, and guidelines as project requirements evolved. Communicated effectively through written and verbal channels to share key insights, raise data quality issues, and recommend process improvements.
Degree in Medicine
Spanish (Native), English (C1+ – Full professional proficiency, outstanding written and verbal communication).
Proficient in Microsoft Office Suite (Advanced Excel, Word, Power Point) and foundational coding languages (e.g., Python, SQL) applied to data organization and analysis.