Eddie O.

Key Skills

Software

Scale AI

Top Subject Matter

Civil Engineering

Electrical Engineering

Business Administration & Management

Top Data Types

Text

Video

Audio

Top Task Types

Transcription

Object Detection

Text Generation

Question Answering

Text Summarization

Evaluation/Rating

Data Collection

Freelancer Overview

I have experience working in AI training and data labeling through my work on Outlier where I have contributed to numerous Aether Generalist projects. My role has involved evaluating, annotating, and refining AI-generated responses to improve model accuracy, reasoning quality, instruction-following, and overall performance. Through consistent exposure to a wide variety of tasks, I have developed strong analytical thinking, attention to detail, and the ability to interpret complex guidelines while maintaining high-quality outputs under tight deadlines. One of my key strengths is my ability to assess responses critically for clarity, relevance, factual accuracy, tone, and alignment with user intent. Working across countless projects has strengthened my adaptability, problem-solving abilities, and understanding of how high-quality training data impacts AI model behaviour and performance.

Labeling Experience

AI Training, Text Data Annotation & Text Summarisation Labeling Specialist – Aether Generalist Projects (Outlier)

TextText Summarization

specialising in text data annotation and text summarisation labeling to support the development and optimisation of AI and machine learning models. Responsibilities included reviewing, annotating, and evaluating text datasets and AI-generated summaries for accuracy, clarity, coherence, relevance, completeness, and instruction-following. Applied detailed annotation guidelines and quality assurance standards to ensure high-quality labeled data for training large language models and improving automated text summarisation capabilities.

2026 - Present

AI Training, Audio Data Annotation & Question Answering Labeling Specialist - Aether Generalist Projects (Outlier)

AudioQuestion Answering

specialising in audio data annotation and question answering labeling to support the development and optimisation of AI and machine learning models. Responsibilities included reviewing and annotating audio datasets, evaluating question-and-answer outputs, and assessing responses for accuracy, relevance, clarity, coherence, and instruction-following. Applied detailed annotation guidelines and quality standards to ensure high-quality labeled data for training large language models and speech-related AI systems.

2026 - Present

AI Training, Video Data Annotation & Object Detection Labeling Specialist - Aether Generalist Projects (Outlier)

VideoObject Detection

specialising in video data annotation and object detection labeling to support the training and optimisation of AI and machine learning models. Responsibilities included labeling and reviewing video datasets, identifying and annotating objects within video frames, and ensuring accurate object classification, tracking, and detection according to detailed project guidelines and annotation standards. Worked with large volumes of data to support computer vision and AI model development across a range of project requirements and scenarios.

2026 - Present

AI Training, Image Data Annotation & Text Generation Labeling Specialist - Aether Generalist Projects (Outlier)

ImageText Generation

specialising in image data annotation and text generation labeling to support the development and optimisation of AI models. Responsibilities included labeling and reviewing image datasets, evaluating AI-generated text outputs, and assessing content for accuracy, relevance, coherence, safety, and instruction-following across a wide range of tasks and prompts. Applied detailed annotation guidelines and quality assurance standards to ensure consistency, precision, and high-quality training data for machine learning and large language model improvement. Worked on large-scale annotation and evaluation tasks within fast-paced AI training environments, demonstrating strong attention to detail, analytical thinking, and pattern recognition skills. Regularly identified inconsistencies, classification errors, and quality issues in both image and text datasets while maintaining adherence to project specifications and performance benchmarks. Developed expertise in data labeling workflows, AI response evaluation, and maintaining annotation accuracy to support reliable and effective AI model training outcomes.

2026 - Present

Education

Work History