Savannah Cruz

Key Skills

Software

Appen

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Data Collection

Freelancer Overview

I have extensive experience providing high-quality data annotations for AI systems, spanning both environmental and content moderation projects. At ReefCloud AI, I classified coral reef images to identify mortality, live tissue, algae, and coral species within the Great Barrier Reef, contributing to a robust model used for ongoing reef health monitoring. Additionally, at Appen, I evaluated and labeled text and images for potential policy violations—such as racism, interaction baiting, and political bias—and contributed to improving search engine results through relevance and keyword assessments. This blend of experience has honed my attention to detail, adherence to labeling protocols, and ability to deliver accurate, high-impact data for machine learning pipelines.

Labeling Experience

Coral Reef imagery classification

OtherImageClassification

Evaluated and classified coral reef images from the Great Barrier Reef, focusing on identifying corals with mortality, live tissue areas, algae presence, camera shadows, and specific coral species. Contributed to training an AI system capable of tracking coral reef health, enabling researchers to monitor changes and generate data-driven insights on reef ecosystems. Ensured high data accuracy by meticulously following classification guidelines and quality control processes.

Evaluated and classified coral reef images from the Great Barrier Reef, focusing on identifying corals with mortality, live tissue areas, algae presence, camera shadows, and specific coral species. Contributed to training an AI system capable of tracking coral reef health, enabling researchers to monitor changes and generate data-driven insights on reef ecosystems. Ensured high data accuracy by meticulously following classification guidelines and quality control processes.

2024

Content moderation and search engine optimization

AppenImageEvaluation Rating

Evaluated images and content for racism, interaction baiting, and political bias to support the development of advanced moderation systems. Flagged problematic content based on established policy guidelines, teaching moderation algorithms to automatically detect and label harmful or inappropriate material. Conducted relevancy checks and keyword optimization reviews to refine search engine results, ensuring users received accurate and high-quality search outcomes. Provided feedback on UI/UX experiences and overall system performance.

Evaluated images and content for racism, interaction baiting, and political bias to support the development of advanced moderation systems. Flagged problematic content based on established policy guidelines, teaching moderation algorithms to automatically detect and label harmful or inappropriate material. Conducted relevancy checks and keyword optimization reviews to refine search engine results, ensuring users received accurate and high-quality search outcomes. Provided feedback on UI/UX experiences and overall system performance.

2023 - 2024

Education

Work History