Sam Andati

Key Skills

Software

Clickworker

CloudFactory

Sama

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Classification

Data Collection

Evaluation Rating

Object Detection

RLHF

Segmentation

Freelancer Overview

I am an experienced Data Annotation Specialist with over 5 years working in high-volume data labeling, linguistic analysis, and Reinforcement Learning from Human Feedback (RLHF) for global AI systems. My expertise spans audio and media annotation, sentiment and intent classification, and qualitative content analysis, where I consistently deliver 100% accuracy and adhere to strict rubric-based guidelines. I have contributed to optimizing natural language understanding and predictive modeling for large-scale AI projects, ensuring data integrity and quality assurance through precise documentation and workflow management. My background also includes effective stakeholder communication and collaboration in fast-paced, asynchronous environments, making me adept at delivering reliable, audit-ready training data that powers advanced machine learning models.

Labeling Experience

Photos SGT

TelusImageSegmentationClassification

Project Scope and Labelling Tasks The project focuses on enhancing personalized search results and facial recognition accuracy. Object Identification: Accurately identifying and tagging objects within images to train machine learning algorithms. Facial Recognition Enhancement: Tagging oneself as "Me" in personal photos to improve the app's ability to find pictures of the user. Data Consistency: Maintaining uniform tagging across datasets to ensure models learn from reliable, non-conflicting information. Classification & Grouping: Categorizing images based on content or metadata to assist in search relevance.

Project Scope and Labelling Tasks The project focuses on enhancing personalized search results and facial recognition accuracy. Object Identification: Accurately identifying and tagging objects within images to train machine learning algorithms. Facial Recognition Enhancement: Tagging oneself as "Me" in personal photos to improve the app's ability to find pictures of the user. Data Consistency: Maintaining uniform tagging across datasets to ensure models learn from reliable, non-conflicting information. Classification & Grouping: Categorizing images based on content or metadata to assist in search relevance.

2022

Education

Work History