Great Oyita

Key Skills

Software

CVAT

Appen

Top Subject Matter

Speech Recognition/Transcription Evaluation

Multimodal Computer Vision

Multimodal AI Training

Top Data Types

Audio

Image

Text

Document

Top Task Types

Transcription

Bounding Box

Classification

Freelancer Overview

AI Data and Transcription Evaluation Specialist | Intron Health. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and CVAT. Education includes Certificate in Project Management in Global Health, University of Washington (2020) and Certificate in Clinical Management of HIV, University of Washington (2018). AI-training focus includes data types such as Audio, Image, and Text and labeling workflows including Transcription, Bounding Box, and Classification.

Labeling Experience

Linguistic QA Analyst | Classik Voices

Text

As a Linguistic QA Analyst, I reviewed AI-generated datasets and transcripts for grammar, contextual clarity, and annotation consistency. I documented my annotation decisions to uphold consistent standards across language datasets. My work supported both AI dataset quality assurance and ongoing annotation projects in natural language processing. • Evaluated textual data for grammatical accuracy. • Checked annotation standards and guideline compliance. • Provided feedback for continued quality improvement. • Maintained ongoing, clear documentation of labeling decisions.

As a Linguistic QA Analyst, I reviewed AI-generated datasets and transcripts for grammar, contextual clarity, and annotation consistency. I documented my annotation decisions to uphold consistent standards across language datasets. My work supported both AI dataset quality assurance and ongoing annotation projects in natural language processing. • Evaluated textual data for grammatical accuracy. • Checked annotation standards and guideline compliance. • Provided feedback for continued quality improvement. • Maintained ongoing, clear documentation of labeling decisions.

2024 - Present

AI Data and Transcription Evaluation Specialist | Intron Health

AudioTranscription

As an AI Data and Transcription Evaluation Specialist, I evaluated AI-generated transcripts from audio data to identify transcription errors and structural issues. I produced corrected human transcripts and structured annotations to enhance model performance. My daily work involved reviewing 150 to 250 audio segments to improve speech recognition datasets. • Evaluated transcription quality and annotation accuracy. • Corrected context loss and speaker confusion. • Ensured structural and grammatical consistency. • Delivered high-quality labeled audio data.

As an AI Data and Transcription Evaluation Specialist, I evaluated AI-generated transcripts from audio data to identify transcription errors and structural issues. I produced corrected human transcripts and structured annotations to enhance model performance. My daily work involved reviewing 150 to 250 audio segments to improve speech recognition datasets. • Evaluated transcription quality and annotation accuracy. • Corrected context loss and speaker confusion. • Ensured structural and grammatical consistency. • Delivered high-quality labeled audio data.

2024 - Present

Multimodal AI Data Specialist | Freelance (TELUS, Appen, OneForma)

AppenImageClassification

As a Multimodal AI Data Specialist, I worked on annotating datasets encompassing image, video, audio, and text data for AI model training. I completed 300 to 500 reviews per week, addressing edge cases and maintaining high annotation standards. I followed detailed guidelines provided by clients to deliver consistent structured annotations. • Conducted classification and structured annotation tasks. • Ensured high accuracy and edge case documentation. • Worked with datasets for LLM, speech, and vision models. • Provided weekly feedback on annotation quality.

As a Multimodal AI Data Specialist, I worked on annotating datasets encompassing image, video, audio, and text data for AI model training. I completed 300 to 500 reviews per week, addressing edge cases and maintaining high annotation standards. I followed detailed guidelines provided by clients to deliver consistent structured annotations. • Conducted classification and structured annotation tasks. • Ensured high accuracy and edge case documentation. • Worked with datasets for LLM, speech, and vision models. • Provided weekly feedback on annotation quality.

2021 - Present

Image and Video Data Annotator | RWS

CVATImageBounding Box

In my role as an Image and Video Data Annotator, I labeled large image and video datasets for multimodal AI training using structured annotation guidelines. I performed object, scene, and action labeling, validating AI-generated annotations and correcting inconsistencies. My annotation work contributed to high quality datasets for computer vision models. • Labeled objects, scenes, and actions using bounding boxes. • Followed detailed annotation protocols. • Validated video and key point annotations for accuracy. • Ensured dataset consistency and quality control.

In my role as an Image and Video Data Annotator, I labeled large image and video datasets for multimodal AI training using structured annotation guidelines. I performed object, scene, and action labeling, validating AI-generated annotations and correcting inconsistencies. My annotation work contributed to high quality datasets for computer vision models. • Labeled objects, scenes, and actions using bounding boxes. • Followed detailed annotation protocols. • Validated video and key point annotations for accuracy. • Ensured dataset consistency and quality control.

2025 - 2026

Education

Work History