Data Engineering at ALX Academy (2025-06 – Present)
Currently enrolled in Data Engineering program
Text Annotator (Part-time) at Redactable (2024-08 – 2025-05)
Led annotation team for complex PDF document annotation across legal, HR, tax, and contracts domains, identifying named entities with high precision.
- Led the annotation team from project inception, serving as the primary point of contact and thought partner for annotation strategy and execution
- Reviewed and annotated complex PDF documents across multiple domains—including legal, HR, tax, and contracts—to identify named entities with high precision and consistency
- Played a key role in refining and expanding the annotation guidelines by introducing new entity categories, clarifying definitions, and resolving edge cases and ambiguities
- Exercised strong critical thinking to make nuanced, subjective labeling decisions that directly impacted model quality and training outcomes
- Recommended and helped implement improved annotation tooling, contributing to more efficient workflows and increased throughput
- Maintained high performance during the early, low-automation phase of the project by powering through lengthy documents with accuracy and diligence
- Proactively flagged inconsistencies and outliers in data and documentation, improving data integrity and the overall labeling process
- Juggled multiple tasks and supported parallel projects, demonstrating reliability, adaptability, and strong organizational skills
- Communicated effectively with team members and leadership through Slack, offering insights that shaped annotation processes and team alignment
- Contributed significantly to the success of the project, earning repeat engagement offers and recognition for leadership and resourcefulness
Text Annotator (Part-time) at VoiceOps (2024-10 – 2025-04)
Analyzed and annotated complex sales coaching transcripts, aligning conversations with a detailed sales skills framework.
- Analyzed and annotated complex sales coaching transcripts, aligning conversations with a detailed sales skills framework
- Applied critical thinking and linguistic nuance to label subjective and ambiguous interactions, ensuring data integrity for downstream AI model training
- Maintained high annotation quality by revisiting and updating prior labels in response to evolving guidelines and client feedback
- Demonstrated strong ownership of assigned workstreams, delivering consistent, high-accuracy output under tight deadlines
- Actively collaborated with the internal team via Slack, asked clarifying questions, and offered suggestions to improve labeling consistency
- Contributed to a supportive and productive team environment, earning client recognition for professionalism and quality of work
Image Annotator at GeoTech (2023-09 – 2024-02)
Conducted detailed image annotation and quality review to enhance product data accuracy for end users.
- Conducted detailed image annotation and quality review to enhance product data accuracy for end users
- Applied strong visual learning skills and a keen eye for detail to consistently deliver high-quality, accurate annotations
- Followed strict visual and structural guidelines to ensure consistency across a wide range of product images
- Maintained efficiency and focus while performing repetitive annotation tasks, meeting daily and weekly productivity targets
- Contributed to overall product improvement efforts by flagging visual inconsistencies and anomalies in image datasets
Text Annotator at Argos Multilingual (2023-02 – 2023-07)
Validated and corrected answer spans extracted from diverse domain-specific passages to ensure 100% compliance with annotation guidelines.
- Validated and corrected answer spans extracted from diverse domain-specific passages (e.g., Finance, Science, Technology, Lifestyle, Recreation, and Writing) to ensure 100% compliance with client-provided annotation guidelines
- Reviewed queries, corresponding passages, and previous annotators' selections to confirm the accuracy and contextual relevance of highlighted text spans
- Applied deep comprehension of US English, along with close attention to detail, to identify subtle inconsistencies and rectify errors in labeled data
- Delivered high-quality outputs consistently within weekly volume targets, contributing to the training and refinement of question-answering NLP models
- Successfully passed a rigorous qualification process, including comprehensive test tasks and guideline mastery, prior to project onboarding
AI Data Annotator at Ntropy (2022-05 – 2023-01)
Labeled complex text data to support machine learning model development aimed at understanding context and intent behind transactions.
- Labeled complex text data to support the development of a machine learning model aimed at understanding the context and intent behind transactions between parties
- Analyzed nuanced sentence structures and transactional language to accurately capture intent, entities, and roles within each interaction
- Identified edge cases and ambiguous patterns, contributing updates to the annotation guideline to improve clarity, consistency, and coverage
- Collaborated with project stakeholders to refine labeling logic and ensure alignment with evolving model objectives
Data Annotator at CloudFactory Kenya Limited (2019-07 – 2022-03)
Trained and facilitated cloud workers on data annotation projects, acted as liaison between clients and team members, and performed quality assurance reviews.
- Trained and facilitated cloud workers on a variety of data annotation projects, ensuring accurate understanding of guidelines and project goals
- Acted as the primary liaison between clients, Project Leads, and team members, ensuring smooth and timely flow of communication and updates
- Assigned tasks, tracked progress, and maintained accurate records in line with both client requirements and internal CloudFactory protocols
- Collaborated with Project Leads and People Officers to clarify business rules, resolve ambiguities, and address annotation-related challenges
- Performed quality assurance reviews in accordance with CloudFactory's internal QA standards, supporting continuous improvement and data integrity
