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Zúñiga

Zúñiga

AI Training & Data Evaluation Specialist

Talento
ColombiaMiembro desde 19 de mayo de 2026
Data annotation & text labelingLLM response evaluation (rubric-based)Content & policy compliance reviewRanking & preference comparison tasksGuideline-based quality assuranceScientific research & fact-checkingData validation & spreadsheet workStructured written documentation
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Data annotation & text labelingLLM response evaluation (rubric-based)Content & policy compliance reviewRanking & preference comparison tasksGuideline-based quality assurance

Sobre mí

Detail-oriented remote worker with hands-on experience in AI data annotation, guideline-based evaluation, and quality review tasks. Completed 6 months as a Generalist Contributor at Telus International, performing structured content and data evaluation tasks. Currently pursuing a degree in Pharmaceutical Chemistry at Universidad Icesi, bringing strong analytical and scientific reasoning to every project.

Aspire Leaders

Program graduate (Harvard-trained faculty). Committed to accuracy, consistency, and high-quality deliverables.

Experiencia

AI Data Annotator & Generalist Contributor at Telus International (2024-01 – 2025-01)

  • Performed data annotation, content labeling, and classification tasks following detailed platform guidelines.
  • Evaluated AI-generated outputs for accuracy, relevance, and policy compliance using structured rubrics.
  • Completed ranking and comparison tasks to improve model preference data and response quality.
  • Flagged low-quality or policy-violating outputs and documented decisions in structured feedback fields.
  • Maintained high consistency and accuracy across repeated guideline-based evaluation tasks.
  • Adapted quickly to updated annotation guidelines, ensuring zero-disruption workflow continuity.

Research & Laboratory Assistant (Academic) at Universidad Icesi (2022-01 – Present)

  • Conducted structured scientific research, summarizing findings in clear written and oral formats.
  • Applied rigorous fact-checking and source evaluation protocols to ensure data integrity.
  • Organized and validated experimental datasets using spreadsheets, maintaining formatting standards.
  • Followed strict laboratory procedures and quality standards with consistent, reproducible results.

Content & Quality Reviewer (Freelance) at Independent (2023-01 – Present)

  • Reviewed written and digital content against defined quality criteria, flagging inconsistencies.
  • Provided structured written feedback on clarity, factual accuracy, and guideline adherence.
  • Evaluated content using consistent scoring methods, maintaining high accuracy across batches.

Educación

Bachelor's in Pharmaceutical Chemistry – Universidad Icesi (2022-01)

High School Diploma in Bachillerato – Colombia (2021-01)

Habilidades

AI Training & Data Evaluation Specialist

Valoraciones