Alicia Thompson

Key Skills

Software

Appen

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Task Types

Action Recognition

Bounding Box

Classification

Emotion Recognition

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

Segmentation

Text Generation

Freelancer Overview

I am an experienced AI data quality and model evaluation specialist with over 10 years in data annotation, quality assurance, and human-in-the-loop AI training. My background spans large-scale projects where I have performed multimodal data labeling—including image, video, and text annotation—for machine learning and computer vision tasks. I am skilled in entity tagging, bounding box annotation, image-based verification, and spatial labeling, as well as evaluating AI outputs for accuracy, relevance, and guideline compliance. My attention to detail and strong critical thinking skills enable me to audit contributor outputs, validate datasets, and ensure high-quality data for robust AI model development. I am passionate about supporting innovative AI solutions through precise data labeling and rigorous quality control.

Labeling Experience

AI Training & Quality Auditor — RWS

AppenImageBounding Box

I executed comprehensive multimodal data annotation projects for AI model training in a human-in-the-loop environment. Responsibilities included structured labeling tasks across image, video, and text data facets and detailed evaluations of AI outputs for quality assurance. I performed entity tagging, bounding box creation, and side-by-side output comparisons to support computer vision and language models. • Conducted image-based verification and spatial labeling for computer vision tasks. • Validated dataset quality and identified inconsistencies or errors. • Employed structured guidelines for consistent and high-integrity annotations. • Supported development teams through evaluation and output rating.

I executed comprehensive multimodal data annotation projects for AI model training in a human-in-the-loop environment. Responsibilities included structured labeling tasks across image, video, and text data facets and detailed evaluations of AI outputs for quality assurance. I performed entity tagging, bounding box creation, and side-by-side output comparisons to support computer vision and language models. • Conducted image-based verification and spatial labeling for computer vision tasks. • Validated dataset quality and identified inconsistencies or errors. • Employed structured guidelines for consistent and high-integrity annotations. • Supported development teams through evaluation and output rating.

2025 - 2026

AI Data Quality Analyst — Appen AI

AppenImageClassification

I provided structured data annotation and quality assurance services on large-scale image, video, and text datasets for machine learning projects. Tasks involved evaluating AI outputs for accuracy, guideline adherence, and relevance, as well as executing rigorous visual labeling and review duties. I contributed to the long-term enhancement and integrity of AI training data through thorough validation processes. • Ensured compliance with annotation guidelines and project specifications. • Collaborated on ongoing dataset reviews and iterative label improvements. • Identified and addressed annotation errors or ambiguities during audits. • Supported the delivery of high-quality datasets to AI development teams.

I provided structured data annotation and quality assurance services on large-scale image, video, and text datasets for machine learning projects. Tasks involved evaluating AI outputs for accuracy, guideline adherence, and relevance, as well as executing rigorous visual labeling and review duties. I contributed to the long-term enhancement and integrity of AI training data through thorough validation processes. • Ensured compliance with annotation guidelines and project specifications. • Collaborated on ongoing dataset reviews and iterative label improvements. • Identified and addressed annotation errors or ambiguities during audits. • Supported the delivery of high-quality datasets to AI development teams.

2013 - 2025

Education

Work History