Heather A.
Mid-Level AI Data Annotator
Open to offersNew to PlatformAbout
Heather O. is an experienced AI Data Annotator and Quality Assurance Specialist with over three years of hands-on involvement in AI data projects across domains such as retail and autonomous driving. With a foundation in Computer Science from the University of Nairobi and certifications in Labelbox and AI Ethics, Heather has spearheaded the annotation lifecycle for large-scale AI initiatives at Ajira Digital, personally delivering over 500,000 high-fidelity data points in text, image, and video formats. She has played a central role in developing and implementing QA frameworks that maintain data quality above 98%, authoring annotation guidelines for complex tasks—including semantic segmentation and named entity recognition—and mentoring teams of 15+ annotators. Heather has also excelled in conducting systematic audits, optimizing annotation workflows, and serving as technical liaison among project managers, data scientists, and annotation teams to ensure precise and ethical delivery of training data that significantly enhances AI model performance.
Experience
Data Annotator
Data Annotation.Tech · 2025 — 2026Supported AI training efforts by performing precise data labeling and annotation tasks with an emphasis on speed and accuracy. Showed flexibility in learning new annotation tools and adapting to project requirements quickly, preventing downtime. Frequently ranked among the top performers in productivity and accuracy across diverse projects while maintaining high-quality outputs.Data Annotator
Turning · 2026 — PresentConduct high-volume data annotation and labeling for machine learning projects spanning various sectors, including retail and autonomous driving. Ensure the delivery of quality outputs by meticulously adhering to project-specific guidelines and actively engaging in regular quality checks. Maintain strong performance metrics, delivering on-time results for important client projects.Senior AI Data Annotator & Trainer
Ajira Digital · 2024 — PresentOversee the annotation lifecycle for significant AI projects, delivering more than 500,000 quality data points across various formats, enhancing client model accuracy. Train and guide a team of over 15 junior annotators while developing onboarding resources and practical workshops that boost team accuracy. Create and update annotation guidelines for complex tasks such as semantic segmentation and named entity recognition, ensuring consistency across teams. Develop and apply a comprehensive Quality Assurance (QA) framework, executing systematic audits to uphold data quality standards above 98%. Act as a technical contact for data scientists and project managers, clarifying model requirements into actionable labeling tasks and addressing edge case feedback. Examine performance metrics to identify knowledge gaps, initiating targeted retraining sessions to improve efficiency.Data Annotator | Subject Matter Expert
Remotask · 2023 — 2024Utilized software tools such as Microsoft Office and Adobe Suite while navigating annotation platforms like Labelbox and Remotask. Acquired expertise in prompt engineering, AI ethics, and data privacy, contributing to technical documentation and root cause analysis.Data Annotator
RemotaskExecuted accurate labeling tasks for a variety of datasets, consistently surpassing internal quality audit standards for throughput and accuracy. Recognized as a Subject Matter Expert (SME) for complex annotation queues, frequently consulted for resolving ambiguous cases. Contributed to the complete annotation process for priority AI projects, ensuring data consistency and accuracy across thousands of points. Engaged in quality initiatives by participating in beta tests for annotation tools, providing feedback that informed final platform features. Achieved high-quality scores across all projects while managing substantial workloads.
Skills & Expertise
Education
- Bachelor of Science in Computer ScienceUniversity of Nairobi