CHRISTOPHER CARPENTER
Conroe,TX
Summary
Results-driven AI Data Annotation Specialist with expertise in multilingual datasets at RWS. Demonstrated meticulous attention to detail and data accuracy, enhancing model training quality. Proven ability to adapt quickly to changing workflows while maintaining data integrity and fostering collaboration to resolve discrepancies. Committed to ethical considerations and continuous improvement in annotation processes.
Overview
1
1
year of professional experience
Work History
AI Data Annotation Specialist
RWS
Conroe, TX
12.2025 - 05.2026
- Annotated multilingual datasets to support AI model training and evaluation.
- Applied detailed labeling guidelines to maintain consistency across text, image, and audio tasks.
- Reviewed annotations for accuracy and resolved edge cases using project-specific instructions.
- Flagged ambiguous content and escalated guideline gaps to improve annotation quality.
- Accessed and used computer software applications to update and maintain records.
- Answered queries by locating and retrieving necessary files.
- Retrieved and disseminated information from computer databases.
- Interpreted project instructions quickly, adapting workflows to changing annotation requirements
- Collaborated with QA teams to resolve guideline ambiguities and strengthen annotation consistency
Data Annotator
Handshake
Conroe, TX
10.2025 - 11.2025
- Annotated text, image, and profile data to support machine learning model training.
- Applied labeling guidelines to maintain consistent, high-quality data output.
- Reviewed flagged annotations and corrected errors to improve dataset accuracy.
- Followed detailed task instructions and adapted quickly to changing workflows.
- Participated in regular team meetings to discuss project updates, challenges, and opportunities for growth.
- Maintained productivity while handling repetitive tasks with accuracy and consistency.
- Classified user-generated content while maintaining attention to edge cases and ambiguity.
- Collaborated with reviewers to resolve annotation discrepancies and align on standards.
- Labeled structured and unstructured data to support machine learning model training.
- Collaborated with quality teams to resolve discrepancies and improve dataset consistency.
Education
Bachelor of Science - Software Engineering
The University of Texas At Austin
Austin, TX05-2023
Bachelor of Science - Computational Science
Central Texas College
Killeen, TX09-2020
Skills
- Data accuracy
- Multitasking
- Data labeling accuracy
- Text annotation proficiency
- Machine learning
- Data categorization
- Data entry
- Meticulous attention to detail
- Project management
- Maintains confidentiality
- Error detection
- Proofreading
- Data integrity
Work History
01-2025
Timeline
AI Data Annotation Specialist
RWS
12.2025 - 05.2026
Data Annotator
Handshake
10.2025 - 11.2025
Bachelor of Science - Software Engineering
The University of Texas At Austin
Bachelor of Science - Computational Science
Central Texas College