Michael Dalvin

Key Skills

Software

Appen

Data Annotation Tech

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Bounding Box

Evaluation Rating

Classification

Freelancer Overview

I am a detail-oriented Data Annotation Specialist with over three years of experience supporting AI model training through precise data labeling and quality control. My background includes handling high-volume image and text datasets for computer vision and NLP projects, ensuring 99% accuracy while meeting tight deadlines in remote environments. I am highly skilled in using annotation platforms like Labelbox and CVAT, advanced Excel functions, and Google Workspace, and have experience with basic SQL for structured data tasks. I excel at identifying edge cases, maintaining data integrity, and collaborating with distributed teams to deliver reliable, high-quality training data for AI applications. My commitment to accuracy and efficiency, along with my ability to quickly adapt to new tools and guidelines, makes me a valuable asset to any data-centric project.

Labeling Experience

Senior Data Annotation Specialist

Scale AIImageBounding Box

As a Senior Data Annotation Specialist at Scale AI, I annotated complex datasets for computer vision and NLP projects. My work involved applying bounding boxes, segmentation masks, and entity tagging based on detailed project taxonomies. I consistently maintained high-quality annotation and performed peer reviews to ensure accuracy. • Labeled large volumes of image and text data for AI training • Flagged ambiguous cases and refined annotation guidelines • Used advanced annotation tools and ensured taxonomy compliance • Exceeded production quotas and accuracy targets

As a Senior Data Annotation Specialist at Scale AI, I annotated complex datasets for computer vision and NLP projects. My work involved applying bounding boxes, segmentation masks, and entity tagging based on detailed project taxonomies. I consistently maintained high-quality annotation and performed peer reviews to ensure accuracy. • Labeled large volumes of image and text data for AI training • Flagged ambiguous cases and refined annotation guidelines • Used advanced annotation tools and ensured taxonomy compliance • Exceeded production quotas and accuracy targets

2022

AI Data Rater / Internet Assessor

TelusTextEvaluation Rating

I evaluated and rated AI-generated outputs for accuracy and relevance as an AI Data Rater. My duties included text categorization, search results evaluation, and preparation of training datasets. I ensured compliance with strict quality and confidentiality standards. • Contributed to natural language processing project datasets • Consistently met quality assurance metrics • Provided feedback on ambiguous or low-quality data • Monitored data labeling task completion and productivity

I evaluated and rated AI-generated outputs for accuracy and relevance as an AI Data Rater. My duties included text categorization, search results evaluation, and preparation of training datasets. I ensured compliance with strict quality and confidentiality standards. • Contributed to natural language processing project datasets • Consistently met quality assurance metrics • Provided feedback on ambiguous or low-quality data • Monitored data labeling task completion and productivity

2021 - 2022

Data Annotation Associate

AppenImageClassification

At Appen, I labeled large-scale image and text datasets for machine learning development. My responsibilities included both image annotation and sentiment or intent classification of text data. I maintained high annotation accuracy and actively collaborated with QA teams to improve workflow standards. • Used platform-specific tools to label and categorize datasets • Achieved a 98% annotation quality score consistently • Assisted with refining labeling guidelines for complex cases • Supported large volume data annotation for AI training

At Appen, I labeled large-scale image and text datasets for machine learning development. My responsibilities included both image annotation and sentiment or intent classification of text data. I maintained high annotation accuracy and actively collaborated with QA teams to improve workflow standards. • Used platform-specific tools to label and categorize datasets • Achieved a 98% annotation quality score consistently • Assisted with refining labeling guidelines for complex cases • Supported large volume data annotation for AI training

2019 - 2020

Education

Work History