Heather A Omondi
Data Annotator
Kisumu,Nyanza
Work Preference
Summary
Results-oriented AI Data Specialist with 3+ years of experience in the complete data annotation lifecycle for complex AI models. Expert in developing and implementing quality assurance frameworks, maintaining data accuracy above 98%, and reducing critical errors by 90%. Proven track record of improving model performance by 25% through high-fidelity data labeling across text, image, video, and audio. Subject Matter Expert (SME) skilled in creating annotation guidelines, resolving edge cases, and mentoring teams of 15+ junior annotators to increase overall accuracy and reduce onboarding time by 40%. Certified in Labelbox and AI Ethics, with a strong foundation in Computer Science and a commitment to data integrity and ethical AI.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Freelance Data Annotator
Remotask
02.2023 - Current
- Spearheaded the full annotation lifecycle for high-priority AI projects, delivering over 500,000 high-fidelity data points (text, image, video) that directly improved client model accuracy by an average of 25%.
- Developed and implemented a multi-tier Quality Assurance (QA) framework, conducting systematic audits that reduced critical errors by 90% and consistently maintained a data quality score above 98% across all projects.
- Authored and iterated on detailed annotation guidelines for complex projects, including semantic segmentation and named entity recognition (NER), ensuring consistency and clarity for a team of 50+ annotators.
- Served as the technical liaison between data scientists and project managers, translating complex model requirements into clear, executable labeling tasks and providing critical feedback on ambiguous edge cases.
- Analyzed performance metrics and Inter-Annotator Agreement (IAA) scores to identify knowledge gaps, leading to targeted retraining sessions that streamlined workflow efficiency.
- Executed precise labeling tasks across diverse datasets, consistently exceeding weekly throughput and accuracy targets by 20% as measured by internal quality audits.
- Championed quality initiatives by participating in beta tests for new annotation tools and protocols, providing user feedback that directly shaped the final features of the platform.
- Recognized as a Subject Matter Expert (SME) for the most challenging annotation queues, frequently consulted by peers and team leads to resolve ambiguous cases and ensure labeling consistency.
Data Annotation Specialist & Trainer
Ajira Digital
Kisumu, Kenya
01.2024 - Current
- Spearheaded the annotation lifecycle for key AI projects, personally delivering over 500,000 high-fidelity data points (text, image, video) that improved client model accuracy by an average of 25%.
- Trained and mentored a team of 15+ junior annotators, developing comprehensive onboarding materials and practical workshops that reduced new hire ramp-up time by 40% and increased overall team annotation accuracy by 35%.
- Authored and iterated on detailed annotation guidelines for complex projects (e.g., semantic segmentation, named entity recognition, sentiment analysis), serving as the primary reference to ensure consistency across multiple teams.
- Implemented a multi-tier QA framework, conducting systematic audits that reduced critical errors by 90% and consistently maintained a data quality score above 98% for all flagship projects.
- Acted as the technical liaison between data scientists, project managers, and annotation teams, translating complex model requirements into clear, executable labeling tasks and providing critical feedback on edge cases.
- Analyzed performance metrics and Inter-Annotator Agreement (IAA) scores to identify knowledge gaps, leading to targeted retraining sessions that resolved discrepancies and streamlined workflow efficiency.
Data Annotator
Turning
02.2026 - Current
- Performed high-volume data annotation and labeling for machine learning models across multiple domains, including retail and autonomous driving.
- Ensured high-quality outputs by meticulously following complex, project-specific guidelines and actively participating in regular calibration and quality audits.
- Maintained strong performance metrics throughout tenure, contributing to the on-time delivery and success of key client projects.
Education
Bachelor of Science - Computer Science
University of Nairobi
Skills
- Freelance / Remote Work
- Data Annotation
- Data Annotator
- Adaptability
- Data Labeling
- Annotation Tools
- Productivity
- Accuracy
Certification
- Certified AI Ethics
- Certified Data Annotator
- Labelbox Certification
Languages
English
Bilingual or Proficient (C2)
Swahili
Advanced (C1)
Personal Information
Title: AI Data Annotator | Quality Assurance | AI Trainer | Data Labeling Specialist (Remote)
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Business opportunities are like buses, there’s always another one coming.
Richard Branson
Interests
Filmmaking
Graphic Design
Enterprenuership
Software
Adobe Photoshop
Adobe Premier Pro
Canav
Photopea
Microsoft Office
Accomplishments
- Trained and mentored 15+ junior annotators, developing onboarding materials and practical workshops that reduced ramp-up time by 40% and increased team annotation accuracy by 35%.
- Authored and iterated on detailed annotation guidelines for complex projects including semantic segmentation, named entity recognition, and sentiment analysis.
- Implemented a multi-tier QA framework that reduced critical errors by 90% and consistently maintained data quality scores above 98% for all flagship projects.
- Acted as technical liaison between data scientists, project managers, and annotation teams, translating model requirements into executable labeling tasks.
- Analyzed performance metrics and Inter-Annotator Agreement scores to identify knowledge gaps and streamline workflow efficiency.
- Recognized as Subject Matter Expert for challenging annotation queues, frequently consulted to resolve ambiguous cases and ensure labeling consistency.
- Exceeded weekly throughput and accuracy targets by 20% across diverse datasets and projects.
- Participated in beta tests for new annotation tools, providing feedback that shaped final platform features.
- Mastered new annotation tools and evolving project requirements within 24-48 hours across multiple platforms.
- Ranked in the top 10% of performers for productivity and accuracy targets consistently.
- Performed high-volume annotation for machine learning models across retail and autonomous driving domains.
- Maintained strong performance metrics while following complex, project-specific guidelines and participating in regular quality audit.
- Assisted in pre-production planning and script breakdowns for short film projects.
- Supported on-set production activities including camera operation and lighting setup.
- Contributed to post-production editing and color grading using Adobe Premiere Pro.
- Collaborated with creative teams to ensure visual consistency and narrative flow.
- Participated in location scouting and scheduling coordination for independent projects.
- Created visual assets and promotional materials for small business clients and personal projects.
- Designed social media graphics and marketing collateral using Adobe Photoshop.
- Developed logo concepts and brand identity elements for local organizations.
- Produced layout designs for presentations and basic print materials.
- Assisted in photo retouching and image optimization for digital platforms.
Timeline
Data Annotator
Turning
02.2026 - Current
Data Annotation Specialist & Trainer
Ajira Digital
01.2024 - Current
Freelance Data Annotator
Remotask
02.2023 - Current
Bachelor of Science - Computer Science
University of Nairobi