Solomon Loko

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Bounding Box

Object Detection

Action Recognition

Freelancer Overview

I am an experienced data annotator with a strong background in video and image labeling for machine learning and AI model training. I have worked remotely with international teams, where I accurately annotated objects, actions, and events using tools for bounding boxes, tracking IDs, polygons, and temporal labels. My experience spans both computer vision and natural language processing tasks, including sentiment analysis, entity recognition, and intent classification. I consistently meet productivity and quality targets while maintaining data security and confidentiality. My attention to detail, commitment to accuracy, and ability to collaborate with quality assurance teams ensure high-quality datasets for AI development.

Labeling Experience

Atlas Capture

Data Annotation TechVideoObject DetectionAction Recognition

Reviewed and analyzed video footage to identify and label objects, actions, and events for machine-learning datasets. Applied accurate annotations, including bounding boxes, tracking IDs, and temporal labels in accordance with project guidelines. Used video annotation tools to annotate frame-by-frame while maintaining high accuracy and consistency. Performed quality checks and corrected annotation errors to meet data integrity standards. Flagged ambiguous cases and poor-quality data, providing feedback to improve annotation guidelines. Met productivity and accuracy targets while handling large volumes of video data. Collaborated with quality assurance teams to ensure annotation consistency across datasets. Maintained strict confidentiality and adhered to data security requirements.

Reviewed and analyzed video footage to identify and label objects, actions, and events for machine-learning datasets. Applied accurate annotations, including bounding boxes, tracking IDs, and temporal labels in accordance with project guidelines. Used video annotation tools to annotate frame-by-frame while maintaining high accuracy and consistency. Performed quality checks and corrected annotation errors to meet data integrity standards. Flagged ambiguous cases and poor-quality data, providing feedback to improve annotation guidelines. Met productivity and accuracy targets while handling large volumes of video data. Collaborated with quality assurance teams to ensure annotation consistency across datasets. Maintained strict confidentiality and adhered to data security requirements.

2025 - 2025

Moon Valley AI

Data Annotation TechImageBounding Box

Labeled and tagged large volumes of data (images, videos) for machine learning and model training. Performed image and video annotation, including bounding boxes, polygons, and object segmentation. Conducted text annotation tasks such as sentiment labeling, entity recognition, and intent classification. Ensured accuracy and consistency of annotations through quality assurance checks. Maintained data confidentiality and security throughout the annotation process. Delivered high-quality annotated data within project deadlines.

Labeled and tagged large volumes of data (images, videos) for machine learning and model training. Performed image and video annotation, including bounding boxes, polygons, and object segmentation. Conducted text annotation tasks such as sentiment labeling, entity recognition, and intent classification. Ensured accuracy and consistency of annotations through quality assurance checks. Maintained data confidentiality and security throughout the annotation process. Delivered high-quality annotated data within project deadlines.

2024 - 2025

Education

Work History