Sandra Nkoro

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Classification

Bounding Box

Polygon

Point Key Point

Polyline

Freelancer Overview

I am a detail-oriented data annotator with hands-on experience structuring and labeling diverse datasets—including images, text, video, and audio—to support the development of machine learning models. My work at Hugo Tech has given me a strong foundation in using annotation tools, collaborating with QA and development teams, and ensuring data quality by identifying edge cases and maintaining high accuracy under tight deadlines. I am proficient in Microsoft Office Suite, particularly Excel and Word, and have experience in research, data analysis, and documentation across domains such as legal, administrative, and field data collection. My adaptability, organizational skills, and commitment to precision make me well-equipped to contribute to projects involving AI training data and data labeling.

Labeling Experience

Data Annotator

CVATImageClassification

I labeled and categorized diverse datasets including images, text, video, and audio for machine learning model training. My work involved ensuring annotation accuracy, identifying edge cases, and reporting them to improve data quality. I collaborated closely with QA and development teams to adhere to strict project guidelines. • Labeled datasets across multiple modalities: images, text, video, audio • Prioritized accuracy and consistency for high-quality annotations • Reported edge cases and contributed to the improvement of training data • Recognized and awarded for annotation performance and best rater accuracy.

I labeled and categorized diverse datasets including images, text, video, and audio for machine learning model training. My work involved ensuring annotation accuracy, identifying edge cases, and reporting them to improve data quality. I collaborated closely with QA and development teams to adhere to strict project guidelines. • Labeled datasets across multiple modalities: images, text, video, audio • Prioritized accuracy and consistency for high-quality annotations • Reported edge cases and contributed to the improvement of training data • Recognized and awarded for annotation performance and best rater accuracy.

2023

Data Annotation Specialist

CVATImageBounding BoxPolygon

The project involved developing high-quality AI training datasets by executing accurate image annotations and applying structured quality evaluations to improve overall model performance and reliability. I completed bounding box, polygon, point/keypoint annotations, as well as semantic and instance segmentation. Responsibilities also included object detection, attribute labeling, segmentation refinement, prompt alignment verification, and contributed to data labeling and classification initiatives supporting machine learning projects. I maintained strict adherence to annotation guidelines and followed quality control procedures. My responsibilities included reviewing dataset accuracy and ensuring timely project completion. • Focused on data categorization and classification for AI systems • Followed project guidelines for annotation standards • Supported team members with timely data review and feedback • Helped ensure datasets met high-quality requirements.

The project involved developing high-quality AI training datasets by executing accurate image annotations and applying structured quality evaluations to improve overall model performance and reliability. I completed bounding box, polygon, point/keypoint annotations, as well as semantic and instance segmentation. Responsibilities also included object detection, attribute labeling, segmentation refinement, prompt alignment verification, and contributed to data labeling and classification initiatives supporting machine learning projects. I maintained strict adherence to annotation guidelines and followed quality control procedures. My responsibilities included reviewing dataset accuracy and ensuring timely project completion. • Focused on data categorization and classification for AI systems • Followed project guidelines for annotation standards • Supported team members with timely data review and feedback • Helped ensure datasets met high-quality requirements.

2003

Education

Work History