George Macharia

Detail-oriented Data Annotator with over 5 years of experience delivering high-quality text, image, and video annotations for AI and ML model development. Proven leader skilled in refining annotation guidelines, ensuring data integrity, and driving workflow efficiency. Passionate about transforming raw data into accurate, actionable insights that enhance model performance.

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

Data Engineering – ALX Academy (2025-06)

Data Science – ALX Academy (2023-05 – 2023-08)

Bachelor Degree of Technology in Renewable Energy & Environmental Physics – Technical University of Mombasa (2018-08 – 2018-12)