Rowena Cubillas

Key Skills

Software

Remotasks

Top Subject Matter

Computer Vision

AI/ML datasets

Video object tracking for AI/ML

Top Data Types

Image

Video

Top Task Types

Bounding Box

Tracking

Action Recognition

Polygon

Cuboid

Evaluation/Rating

Segmentation

Text Generation

Text Summarization

Freelancer Overview

Data Annotator – Image Annotation (2D & 3D). Core strengths include Remotasks. Education includes Bachelor of Science in Information Technology, Caraga State University (ongoing). AI-training focus includes data types such as Image and Video and labeling workflows including Bounding Box, Tracking, and Action Recognition.

Labeling Experience

Data Annotator – Robotics Action Segmentation

RemotasksVideoAction Recognition

I conducted robotics action segmentation, identifying and labeling robotics actions and human-object interactions in video datasets. My focus was on producing accurate frame-level labels to aid robotics AI model training. I followed precise guidelines and maintained high data quality standards. • Labeled actions and interactions in robotics video footage • Ensured accuracy for AI-based robotics training data • Managed time-sensitive segmentation assignments remotely • Maintained detailed records and reported quality metrics

I conducted robotics action segmentation, identifying and labeling robotics actions and human-object interactions in video datasets. My focus was on producing accurate frame-level labels to aid robotics AI model training. I followed precise guidelines and maintained high data quality standards. • Labeled actions and interactions in robotics video footage • Ensured accuracy for AI-based robotics training data • Managed time-sensitive segmentation assignments remotely • Maintained detailed records and reported quality metrics

2023 - Present

Data Annotator – Video Annotation & Tracking

RemotasksVideoTracking

In my video annotation role, I labeled video data to support AI model development focused on object tracking and movement analysis. I identified and tracked objects frame-by-frame, ensuring high accuracy for model training. All work was delivered remotely with attention to detail and speed. • Labeled video frames for object detection and movement • Ensured continuity and precision across long video sequences • Collaborated on multiple video-focused AI projects • Used Remotasks annotation platform for all labeling activities

In my video annotation role, I labeled video data to support AI model development focused on object tracking and movement analysis. I identified and tracked objects frame-by-frame, ensuring high accuracy for model training. All work was delivered remotely with attention to detail and speed. • Labeled video frames for object detection and movement • Ensured continuity and precision across long video sequences • Collaborated on multiple video-focused AI projects • Used Remotasks annotation platform for all labeling activities

2022 - Present

Data Annotator – Image Annotation (2D & 3D)

RemotasksImageBounding Box

As a Data Annotator at Remotasks, I performed both 2D and 3D image annotation projects for AI and machine learning datasets. My primary labeling tasks included drawing bounding boxes, polygons, and applying segmentation techniques on large image sets. I ensured all annotations met strict quality standards and project guidelines. • Annotated images with bounding boxes and polygons for object detection • Executed semantic segmentation techniques on 2D and 3D data • Delivered consistently accurate labeled image datasets • Maintained quality and productivity throughout multiple projects

As a Data Annotator at Remotasks, I performed both 2D and 3D image annotation projects for AI and machine learning datasets. My primary labeling tasks included drawing bounding boxes, polygons, and applying segmentation techniques on large image sets. I ensured all annotations met strict quality standards and project guidelines. • Annotated images with bounding boxes and polygons for object detection • Executed semantic segmentation techniques on 2D and 3D data • Delivered consistently accurate labeled image datasets • Maintained quality and productivity throughout multiple projects

2022 - Present

Education

Work History