Eddie W.

Key Skills

Software

Clickworker

CloudFactory

Data Annotation Tech

OneForma

Remotasks

Toloka

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Data Collection

Mapping

Text Generation

Text Summarization

Translation/Localization

Freelancer Overview

Meticulous and detail-oriented Data Annotation Specialist with extensive experience in text, image, audio, and video labeling for AI/ML projects. Proven ability to deliver high-quality, accurate annotations under tight deadlines while collaborating with diverse teams. Skilled in object detection, sentiment analysis, and e-commerce product categorization, with hands-on expertise in tools like Labelbox, Prodigy, and Amazon SageMaker Ground Truth. With experience in autonomous driving datasets, NLP-based sentiment analysis, and e-commerce classification, I have contributed to refining machine learning models by ensuring data consistency and handling complex edge cases. Adept at problem-solving, quality assurance, and workflow optimization, I am passionate about enhancing AI training data for cutting-edge technologies.

Labeling Experience

Sentiment Analysis Data Annotation

TolokaTextEntity Ner ClassificationClassification

Annotated and categorized text data from social media platforms to train NLP models for sentiment analysis. Tasks involved labeling text based on sentiment (positive, negative, neutral), identifying key entities (NER), and summarizing key themes in conversations. Ensured high accuracy and consistency in annotations by following strict project guidelines and conducting quality assurance checks. Provided feedback to improve annotation standards and model performance in detecting sentiment-driven trends.

Annotated and categorized text data from social media platforms to train NLP models for sentiment analysis. Tasks involved labeling text based on sentiment (positive, negative, neutral), identifying key entities (NER), and summarizing key themes in conversations. Ensured high accuracy and consistency in annotations by following strict project guidelines and conducting quality assurance checks. Provided feedback to improve annotation standards and model performance in detecting sentiment-driven trends.

2024

Autonomous Driving Object Detection Annotation

Scale AIImageBounding BoxClassification

Labeled large-scale image datasets to train AI models for object detection and tracking in self-driving car development. Tasks included drawing bounding boxes around vehicles, pedestrians, traffic signs, and road objects, as well as identifying edge cases to refine annotation guidelines. Maintained high accuracy standards by conducting quality assurance reviews and ensuring consistency in labels across multiple frames. Collaborated with a team to enhance model training efficiency and reduce annotation errors.

Labeled large-scale image datasets to train AI models for object detection and tracking in self-driving car development. Tasks included drawing bounding boxes around vehicles, pedestrians, traffic signs, and road objects, as well as identifying edge cases to refine annotation guidelines. Maintained high accuracy standards by conducting quality assurance reviews and ensuring consistency in labels across multiple frames. Collaborated with a team to enhance model training efficiency and reduce annotation errors.

2020 - 2023

Education

Work History