Aubrey Copeland

Key Skills

Software

Appen

Telus

Top Subject Matter

General Audio and Video Content

General Machine Learning Data

Cross-domain AI Data

Top Data Types

Audio

Text

Image

Document

Top Task Types

Transcription

Classification

Freelancer Overview

Top Tier Reviewer and Captioner. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Verbit AI, Appen, and Telus. Education includes Bachelor of Science, San Jose State University (2020). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription and Classification.

Labeling Experience

Top Tier Reviewer and Captioner

AudioTranscription

As a Top Tier Reviewer and Captioner at Verbit AI, I transcribed and edited diverse audio and video content with high accuracy and on-time delivery. I reviewed and edited transcripts for grammar, clarity, and compliance with style guides, substantially reducing client revisions. I collaborated with team members to meet client expectations and increase project throughput. • Promoted from editor to reviewer to top tier reviewer based on quality and reliability. • Maintained a quality score consistently above 98%. • Delivered projects on tight deadlines with a 99% on-time delivery rate. • Enhanced transcript quality, reducing client revisions by 30%.

As a Top Tier Reviewer and Captioner at Verbit AI, I transcribed and edited diverse audio and video content with high accuracy and on-time delivery. I reviewed and edited transcripts for grammar, clarity, and compliance with style guides, substantially reducing client revisions. I collaborated with team members to meet client expectations and increase project throughput. • Promoted from editor to reviewer to top tier reviewer based on quality and reliability. • Maintained a quality score consistently above 98%. • Delivered projects on tight deadlines with a 99% on-time delivery rate. • Enhanced transcript quality, reducing client revisions by 30%.

2023 - Present

Data Annotator

AppenTextClassification

In my role as a Data Annotator with Appen, I worked to annotate text, image, and audio data with a high degree of accuracy to support machine learning. I identified and labeled edge cases and ambiguous inputs, leading to cleaner datasets. I also conducted quality reviews, refined guidelines, and documented annotation challenges for process improvement. • Achieved 99% annotation accuracy. • Conducted quality assurance reviews on peer annotations. • Proposed clarifications and improvements to annotation guidelines, shortening review cycles by 15%. • Collaborated with project coordinators to improve annotation workflows and onboarding.

In my role as a Data Annotator with Appen, I worked to annotate text, image, and audio data with a high degree of accuracy to support machine learning. I identified and labeled edge cases and ambiguous inputs, leading to cleaner datasets. I also conducted quality reviews, refined guidelines, and documented annotation challenges for process improvement. • Achieved 99% annotation accuracy. • Conducted quality assurance reviews on peer annotations. • Proposed clarifications and improvements to annotation guidelines, shortening review cycles by 15%. • Collaborated with project coordinators to improve annotation workflows and onboarding.

2023 - 2025

AI Generalist

TelusTextClassification

As an AI Generalist at TELUS AI, I analyzed and annotated a variety of data types to support AI training and evaluation processes. I ensured high consistency with project guidelines and helped document edge cases to improve model performance. My responsibilities included performing QA on peer annotations and streamlining annotation workflows. • Maintained 98% consistency with project guidelines. • Identified and documented ambiguous data points, reducing model prediction errors by 20%. • Refined annotation guidelines to streamline the review process by 15%. • Collaborated with teams to improve inter-annotator agreement and workflow efficiency.

As an AI Generalist at TELUS AI, I analyzed and annotated a variety of data types to support AI training and evaluation processes. I ensured high consistency with project guidelines and helped document edge cases to improve model performance. My responsibilities included performing QA on peer annotations and streamlining annotation workflows. • Maintained 98% consistency with project guidelines. • Identified and documented ambiguous data points, reducing model prediction errors by 20%. • Refined annotation guidelines to streamline the review process by 15%. • Collaborated with teams to improve inter-annotator agreement and workflow efficiency.

2022 - 2023

Education

Work History