Sarah Jane Bautista

Key Skills

Software

CVAT

Humanatic

Label Studio

Remotasks

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Image

Text

Video

Top Label Types

Bounding Box

Classification

Cuboid

Object Detection

Point Key Point

Polygon

Freelancer Overview

I am currently working as a Quality Assurance Specialist, validating AI-detected traffic events and near-miss incidents to ensure the highest dataset accuracy. My role involves reviewing vehicle movements and trajectories, identifying duplicates, misclassifications, and missed events, and providing actionable feedback to improve AI model performance. Alongside QA, I have experience in data labeling for computer vision projects, including annotating 3D point clouds and drawing bounding cuboids around objects. My key strengths are attention to detail, precision, and a strong understanding of AI training data processes, which allow me to deliver reliable and high-quality datasets.

Labeling Experience

Quality Assurance Specialist - Freelancer

OtherVideoClassification

As a Quality Assurance Specialist freelancer, I performed quality checks on AI-detected traffic events and near-miss incidents in videos. My responsibilities included validating vehicle movements and trajectories and identifying duplicates, misclassifications, and missed events. I provided actionable feedback to technology teams to enhance detection pipelines. • Conducted rigorous validation of vehicle-related incidents. • Ensured dataset accuracy through detailed review processes. • Highlighted data inconsistencies and proposed solutions. • Supported system improvement through iterative feedback.

As a Quality Assurance Specialist freelancer, I performed quality checks on AI-detected traffic events and near-miss incidents in videos. My responsibilities included validating vehicle movements and trajectories and identifying duplicates, misclassifications, and missed events. I provided actionable feedback to technology teams to enhance detection pipelines. • Conducted rigorous validation of vehicle-related incidents. • Ensured dataset accuracy through detailed review processes. • Highlighted data inconsistencies and proposed solutions. • Supported system improvement through iterative feedback.

2022

Lidar Annotator

Other3D SensorCuboid

At Flipside as a Lidar Annotator, I annotated 3D point cloud data by drawing bounding cuboids around specified objects. This work contributed to the advancement of computer vision models for autonomous systems. I focused on identifying accurate object boundaries in spatial data. • Labeled objects within 3D point clouds with precision. • Created cuboid annotations for machine learning training. • Supported sensor data understanding for AI. • Maintained quality standards throughout annotation tasks.

At Flipside as a Lidar Annotator, I annotated 3D point cloud data by drawing bounding cuboids around specified objects. This work contributed to the advancement of computer vision models for autonomous systems. I focused on identifying accurate object boundaries in spatial data. • Labeled objects within 3D point clouds with precision. • Created cuboid annotations for machine learning training. • Supported sensor data understanding for AI. • Maintained quality standards throughout annotation tasks.

2022 - 2022

Quality Assurance/Spotter (Lidar Annotator/QA)

Remotasks3D SensorCuboid

As a Quality Assurance/Spotter at Remotasks/Scale API, I performed QA and error-spotting for lidar data annotation projects in computer vision. I checked reviewer work for errors and helped ensure only high-quality data was submitted to clients. My work also included identifying and correcting annotation mistakes post-review. • Conducted QA for lidar annotation tasks. • Spotted and corrected errors in annotated data. • Ensured annotated 3D point clouds met project standards. • Contributed to reliable data pipelines for AI systems.

As a Quality Assurance/Spotter at Remotasks/Scale API, I performed QA and error-spotting for lidar data annotation projects in computer vision. I checked reviewer work for errors and helped ensure only high-quality data was submitted to clients. My work also included identifying and correcting annotation mistakes post-review. • Conducted QA for lidar annotation tasks. • Spotted and corrected errors in annotated data. • Ensured annotated 3D point clouds met project standards. • Contributed to reliable data pipelines for AI systems.

2019 - 2022

Call Reviewer

HumanaticAudioClassification

As a Call Reviewer for Humanatic, I listened carefully to recorded phone calls and tagged them with the correct category for AI training purposes. This role involved evaluating the context of conversations and categorizing audio content accurately. My annotations supported the development of smarter AI call analytics. • Categorized recorded phone calls by content. • Assisted in improving audio classification algorithms. • Provided reliable tags for diverse call scenarios. • Supported large-scale audio data labeling operations.

As a Call Reviewer for Humanatic, I listened carefully to recorded phone calls and tagged them with the correct category for AI training purposes. This role involved evaluating the context of conversations and categorizing audio content accurately. My annotations supported the development of smarter AI call analytics. • Categorized recorded phone calls by content. • Assisted in improving audio classification algorithms. • Provided reliable tags for diverse call scenarios. • Supported large-scale audio data labeling operations.

2014 - 2016

Education

Work History