Daniel Macharia
@danielmacharia
Detail-oriented Annotation Specialist with expertise in data labeling.
What I'm looking for
I am a detail-oriented and highly organized Annotation Specialist with a strong background in data labeling, annotation, and quality control for machine learning models. My experience spans over several years, during which I have honed my skills in annotating various data types, including images, videos, and point clouds. I am passionate about improving model accuracy and collaborating with data scientists in fast-paced and innovative environments.
In my previous roles, I have successfully annotated and labeled large datasets, ensuring high accuracy and consistency. I have collaborated closely with machine learning engineers to define labeling guidelines and have conducted quality control checks to maintain the integrity of the data. My efforts have led to significant improvements in model performance, showcasing my ability to contribute effectively to team objectives.
Experience
Work history, roles, and key accomplishments
Data Annotation Specialist
CVAT.ai
Jan 2022 - Mar 2025 (3 years 2 months)
As a Data Annotation Specialist at CVAT.ai, I annotated and labeled various data types, ensuring quality and accuracy for machine learning models. Collaborated with data scientists and maintained organized documentation while meeting project deadlines and standards.
Annotation Specialist
NCRC
Feb 2021 - Nov 2021 (9 months)
At NCRC, I accurately labeled large datasets for machine learning projects, collaborated with engineers to define guidelines, and conducted quality control checks to ensure high accuracy, leading to improved model performance.
Data Annotator
Enlabelar
May 2018 - Dec 2020 (2 years 7 months)
As a Data Annotator at Enlabelar, I labeled text data for NLP tasks, collaborated with data scientists, and trained junior annotators while achieving high annotation accuracy and adhering to strict guidelines.
Education
Degrees, certifications, and relevant coursework
Kibabii University
Bachelor of Science, Information Technology
2015 - 2019
Bachelor of Science in Information Technology with relevant courses in Data Management, Machine Learning Fundamentals, and Information Systems Analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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