Brown Donald Nick

Key Skills

Software

Supervisely

Labelbox

Appen

OneForma

Scale AI

Telus

Data Annotation Tech

Top Subject Matter

AI training

Data Annotation

Prompt Optimization

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Entity (NER) Classification

Object Detection

Text Generation

Question Answering

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

Data Annotation Specialist (Outlier). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Supervisely and Labelbox. Education includes Certificate in Data Science, Xania Institute (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

Data Annotation Specialist (Outlier)

SuperviselyImageBounding Box

I labeled and annotated large image and video datasets for AI training, focusing on quality and accuracy. I used Supervisely and CVAT to apply structured labeling processes, maintaining a 97% accuracy rate through regular quality assurance checks. My responsibilities included collaborating with data scientists, documenting protocols, and mentoring new hires. • Consistently achieved high-quality annotated datasets for computer vision tasks. • Utilized Supervisely and CVAT for efficient annotation workflows. • Provided feedback and process improvements to enhance efficiency. • Mentored and trained new annotation team members.

I labeled and annotated large image and video datasets for AI training, focusing on quality and accuracy. I used Supervisely and CVAT to apply structured labeling processes, maintaining a 97% accuracy rate through regular quality assurance checks. My responsibilities included collaborating with data scientists, documenting protocols, and mentoring new hires. • Consistently achieved high-quality annotated datasets for computer vision tasks. • Utilized Supervisely and CVAT for efficient annotation workflows. • Provided feedback and process improvements to enhance efficiency. • Mentored and trained new annotation team members.

2022 - Present

Data Annotation Specialist

LabelboxTextEntity Ner Classification

I performed data annotation on text, image, and audio formats to support machine learning initiatives. Using tools like Labelbox and VGG Image Annotator, I ensured precise labeling and conducted regular dataset audits attaining over 95% quality assurance scores. I contributed to training materials and participated in meetings to address annotation challenges. • Applied annotation protocols across multiple data types for diverse ML projects. • Maintained documentation and created onboarding material for annotation best practices. • Collaborated with data scientists to optimize dataset quality. • Actively participated in quality control and process refinements.

I performed data annotation on text, image, and audio formats to support machine learning initiatives. Using tools like Labelbox and VGG Image Annotator, I ensured precise labeling and conducted regular dataset audits attaining over 95% quality assurance scores. I contributed to training materials and participated in meetings to address annotation challenges. • Applied annotation protocols across multiple data types for diverse ML projects. • Maintained documentation and created onboarding material for annotation best practices. • Collaborated with data scientists to optimize dataset quality. • Actively participated in quality control and process refinements.

2020 - Present

Data Annotation Ads Classifcation (AppenCrowdgen)

ImageClassification

I worked on the project Lantana with Appen crowdgen where i helped train AI by Annotation Facebook ads data, for it to recognize and classify data that fall into the following categories (i) Medical Scams (ii) Financial Scams (iii) Get rich quick schemes (iv) Sexually suggestive (v) Genuine ads

I worked on the project Lantana with Appen crowdgen where i helped train AI by Annotation Facebook ads data, for it to recognize and classify data that fall into the following categories (i) Medical Scams (ii) Financial Scams (iii) Get rich quick schemes (iv) Sexually suggestive (v) Genuine ads

2025 - 2025

Data labelling

ImageClassification

The Project Lantana on AppenCrowdgen where I helped AI label and classify facebook ads that fall in to the following categories. Ones that are: (i) Medical Scams (ii) Financial Scams (iii) get rich quick schemes (iv) Genuine ads

The Project Lantana on AppenCrowdgen where I helped AI label and classify facebook ads that fall in to the following categories. Ones that are: (i) Medical Scams (ii) Financial Scams (iii) get rich quick schemes (iv) Genuine ads

2025 - 2025

Education

Work History