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Brian Brisn

Lead Data Annotator

USA flagPalo Alto, Usa
ExpertLabelboxCVATProdigy

Key Skills

Software

LabelboxLabelbox
CVATCVAT
ProdigyProdigy
Scale AIScale AI

Top Subject Matter

Large Language Models
Linguistic Annotation
Regional Dialects

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

RLHF
Classification
Transcription
Object Detection

Freelancer Overview

Lead Data Annotator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Prodigy. Education includes Bachelor of Science, Stanford University. AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including RLHF, Classification, and Transcription.

Expert

Labeling Experience

Labelbox

Lead Data Annotator

LabelboxTextRLHF
As Lead Data Annotator, I managed end-to-end data labeling pipelines for LLMs, focusing on English and Swahili text. I ensured consistently high annotation accuracy across complex reasoning datasets. I led the Swahili linguistic team, established regional guidelines, and performed quality audits on multi-modal datasets. • Led daily quality audits and bottleneck resolutions. • Developed processes for managing image-text and video sequencing data. • Collaborated directly with machine learning engineers for workflow improvement. • Managed a team specializing in regional dialects and cultural nuance.

As Lead Data Annotator, I managed end-to-end data labeling pipelines for LLMs, focusing on English and Swahili text. I ensured consistently high annotation accuracy across complex reasoning datasets. I led the Swahili linguistic team, established regional guidelines, and performed quality audits on multi-modal datasets. • Led daily quality audits and bottleneck resolutions. • Developed processes for managing image-text and video sequencing data. • Collaborated directly with machine learning engineers for workflow improvement. • Managed a team specializing in regional dialects and cultural nuance.

2023 - Present
Labelbox

Senior Content Evaluator

LabelboxTextClassification
As Senior Content Evaluator, I supervised a specialized team focused on semantic metadata tagging for extensive media libraries. I created Gold Sets for staff training and led consensus exercises for ambiguous natural language processing tasks. I specialized in accessibility labeling, including SDH and descriptive audio metadata. • Supervised 15 labelers for semantic standards. • Developed standards for new team training. • Led blind-testing for ambiguity resolution. • Specialized in accessibility and descriptive labeling.

As Senior Content Evaluator, I supervised a specialized team focused on semantic metadata tagging for extensive media libraries. I created Gold Sets for staff training and led consensus exercises for ambiguous natural language processing tasks. I specialized in accessibility labeling, including SDH and descriptive audio metadata. • Supervised 15 labelers for semantic standards. • Developed standards for new team training. • Led blind-testing for ambiguity resolution. • Specialized in accessibility and descriptive labeling.

2020 - 2022
Labelbox

Visual Semantic Mapping Project Lead

LabelboxImageObject Detection
I led the manual labeling of over 10,000 complex urban scenes to support computer vision model training. I emphasized precise object detection and environmental context tagging for greater model accuracy. I managed annotation quality for challenging urban scenarios. • Oversaw image-based object annotation. • Ensured precision for computer vision models. • Focused on environmental context tagging. • Coordinated team efforts for quality control.

I led the manual labeling of over 10,000 complex urban scenes to support computer vision model training. I emphasized precise object detection and environmental context tagging for greater model accuracy. I managed annotation quality for challenging urban scenarios. • Oversaw image-based object annotation. • Ensured precision for computer vision models. • Focused on environmental context tagging. • Coordinated team efforts for quality control.

Not specified
Labelbox

Multi-lingual Swahili Dialect Dataset Project Lead

LabelboxAudioTranscription
I spearheaded the labeling of over 50,000 audio samples focused on regional Swahili accents for voice recognition. I ensured phonetic accuracy and intent tagging for effective voice model training. I developed comprehensive quality assurance for dialectal consistency. • Managed multi-lingual audio labeling team. • Focused on phonetic and intent annotation. • Oversaw quality and dialectal accuracy. • Structured dataset for voice-recognition.

I spearheaded the labeling of over 50,000 audio samples focused on regional Swahili accents for voice recognition. I ensured phonetic accuracy and intent tagging for effective voice model training. I developed comprehensive quality assurance for dialectal consistency. • Managed multi-lingual audio labeling team. • Focused on phonetic and intent annotation. • Oversaw quality and dialectal accuracy. • Structured dataset for voice-recognition.

Not specified

Education

S

Stanford University

Bachelor of Science, Cognitive Science

Bachelor of Science
Not specified

Work History

C

Creative Media Corp

Senior Content Strategist

Palo Alto
2020 - 2022