Desmond Okoli

Key Skills

Software

Scale AI

Appen

Labelbox

Top Subject Matter

AI model training

Natural Language Processing

LLM Evaluation

Top Data Types

Text

Image

Audio

Video

Top Task Types

Text Generation

Classification

Freelancer Overview

AI Data Annotation Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Appen, and Labelbox. Education includes Bachelor of Science, City University of New York, Brooklyn College (2019). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Text Generation and Classification.

Labeling Experience

AI Data Annotation Specialist

Scale AIVideoClassification

My experience includes video data labeling for machine learning projects focused on behavior analysis and content categorization. I meticulously classified video segments and contributed to large-scale annotation pipelines. Precision and guideline adherence were always top priorities. • Labeled thousands of video clips to support computer vision tasks • Applied annotation protocols for action, object, or content classification • Ensured consistency and reliability through QA and edge case resolutions • Contributed to iterative refinements in video annotation processes

My experience includes video data labeling for machine learning projects focused on behavior analysis and content categorization. I meticulously classified video segments and contributed to large-scale annotation pipelines. Precision and guideline adherence were always top priorities. • Labeled thousands of video clips to support computer vision tasks • Applied annotation protocols for action, object, or content classification • Ensured consistency and reliability through QA and edge case resolutions • Contributed to iterative refinements in video annotation processes

2023 - Present

AI Data Annotation Specialist

Scale AIAudioClassification

I conducted audio sample annotation and classification for speech and sound-focused AI projects. Tasks included categorizing audio clips, detecting speech attributes, and ensuring data integrity for model development. Diligence in maintaining quality and accuracy was critical to the project’s success. • Annotated and evaluated thousands of audio files for accuracy and relevance • Labeled speech, noise, and other attributes as per classification guidelines • Collaborated with teams to calibrate and refine audio labeling procedures • Leveraged software like Scale AI, Appen, Labelbox, and Uber AI Solutions Task Hub for annotation tasks

I conducted audio sample annotation and classification for speech and sound-focused AI projects. Tasks included categorizing audio clips, detecting speech attributes, and ensuring data integrity for model development. Diligence in maintaining quality and accuracy was critical to the project’s success. • Annotated and evaluated thousands of audio files for accuracy and relevance • Labeled speech, noise, and other attributes as per classification guidelines • Collaborated with teams to calibrate and refine audio labeling procedures • Leveraged software like Scale AI, Appen, Labelbox, and Uber AI Solutions Task Hub for annotation tasks

2023 - Present

AI Data Annotation Specialist

Scale AIImageClassification

In my annotation work, I also handled image labeling and classification for AI model pipelines. I was responsible for ensuring visual data was accurately categorized and annotated according to project specifications. Quality and speed under high-volume conditions were essential aspects of my performance. • Labeled and classified thousands of images for computer vision models • Maintained annotation consistency across datasets using software tools • Adapted to shifting guidelines and edge cases in image annotation • Performed QA reviews to meet or exceed accuracy benchmarks

In my annotation work, I also handled image labeling and classification for AI model pipelines. I was responsible for ensuring visual data was accurately categorized and annotated according to project specifications. Quality and speed under high-volume conditions were essential aspects of my performance. • Labeled and classified thousands of images for computer vision models • Maintained annotation consistency across datasets using software tools • Adapted to shifting guidelines and edge cases in image annotation • Performed QA reviews to meet or exceed accuracy benchmarks

2023 - Present

AI Data Annotation Specialist

Scale AITextText Generation

As an AI Data Annotation Specialist, I annotated and labeled large-scale datasets for various AI models. My responsibilities included generating and evaluating prompt/response pairs for LLMs and performing SxS evaluations. I ensured consistent, high-quality annotation and linguistic QA for multiple platforms. • Annotated over 10,000 text samples with high accuracy for model training • Created prompt/response pairs for LLM fine-tuning and performed side-by-side (SxS) preference evaluation • Conducted English-Igbo translation QA, focusing on fluency and localization errors • Used platforms like Scale AI, Appen, Labelbox, and Uber AI Solutions Task Hub for annotation and evaluation

As an AI Data Annotation Specialist, I annotated and labeled large-scale datasets for various AI models. My responsibilities included generating and evaluating prompt/response pairs for LLMs and performing SxS evaluations. I ensured consistent, high-quality annotation and linguistic QA for multiple platforms. • Annotated over 10,000 text samples with high accuracy for model training • Created prompt/response pairs for LLM fine-tuning and performed side-by-side (SxS) preference evaluation • Conducted English-Igbo translation QA, focusing on fluency and localization errors • Used platforms like Scale AI, Appen, Labelbox, and Uber AI Solutions Task Hub for annotation and evaluation

2023 - Present

Data Entry & Content Reviewer

TextClassification

As a Data Entry & Content Reviewer, I reviewed and classified large volumes of user-generated text content according to AI safety and community policies. Responsibilities included accurate detection of sensitive and policy-violating content. I supported guideline calibration and QA collaboration to enhance annotation standards. • Reviewed and classified thousands of text entries for moderation and AI policy training • Identified and escalated policy violations using moderation tools • Assisted with guideline calibration and edge case resolution for labeling accuracy • Maintained high accuracy rates in rapid-paced annotation settings

As a Data Entry & Content Reviewer, I reviewed and classified large volumes of user-generated text content according to AI safety and community policies. Responsibilities included accurate detection of sensitive and policy-violating content. I supported guideline calibration and QA collaboration to enhance annotation standards. • Reviewed and classified thousands of text entries for moderation and AI policy training • Identified and escalated policy violations using moderation tools • Assisted with guideline calibration and edge case resolution for labeling accuracy • Maintained high accuracy rates in rapid-paced annotation settings

2021 - 2022

Education

Work History