Victor O.

Key Skills

Software

Scale AI

Telus

OneForma

Labelbox

Top Subject Matter

Voice AI

LLM alignment

STEM content

Top Data Types

Audio

Text

Image

Document

Top Task Types

Transcription

Fine-tuning

Entity (NER) Classification

Segmentation

Classification

Object Detection

RLHF

Red Teaming

Freelancer Overview

Senior AI Trainer & Quality Evaluator (Scale AI / Insight Global). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Telus, and Internal. Education includes Bachelor of Engineering, University of South Alabama (2024) and High School Certificate, Fountain International High School (2017). AI-training focus includes data types such as Audio, Text, and Image and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

Senior AI Trainer and Quality Evaluator - Scale AI

Scale AIAudioEntity (NER) Classification

Delivered quality evaluation and training support for generative AI systems across multiple concurrent projects using rigorous assessment criteria. Reviewed model outputs for factual accuracy, reasoning quality, safety compliance, and instruction-following performance while providing actionable feedback. Validated technical accuracy of STEM content and ensured linguistic quality for voice AI and other multimodal datasets. • Evaluated AI responses for accuracy, reasoning, safety, and adherence to instructions. • Performed prompt evaluation, comparative assessment, response ranking, and human-feedback workflow support. • Conducted STEM-focused content review and transcription/audio annotation quality checks. • Maintained quality performance above 98% and collaborated to improve annotation frameworks and evaluation standards.

2025 - Present

Senior AI Trainer & Quality Evaluator (Scale AI / Insight Global)

Scale AIAudioTranscription

Evaluated and trained generative AI systems by reviewing prompt/response quality and ensuring factuality, reasoning, safety compliance, and instruction adherence. Performed audio annotation and transcription review with linguistic quality assurance for voice AI datasets. Validated STEM-focused content accuracy and supported AI alignment activities through red-teaming and model evaluation workflows. • Audio/speech-data validation and transcription review. • Prompt evaluation, response ranking, comparative assessment, and human-feedback workflows. • STEM content validation for technical accuracy. • Quality performance tracking with average scores exceeding 98%.

2025 - Present

Search Relevance and Computer Vision Annotation Specialist - RWS

LabelboxImageSegmentationClassification

Assessed search relevance for results, advertisements, and web content to improve ranking quality and user satisfaction. Evaluated query intent, landing page usefulness, and content accuracy according to client guidelines. Completed computer vision dataset labeling quality reviews to support multimodal and generative AI dataset compliance. • Rated search relevance and evaluated query intent and landing page quality. • Conducted compliance assessments for web content and ranking outputs. • Reviewed image and video dataset quality for object detection, segmentation, and classification. • Supported dataset reliability through visual quality checks and reporting.

2023 - 2024

Search Relevance & Computer Vision Annotation Specialist (RWS & OneForma, Remote)

OneFormaText

Assessed search relevance by evaluating search engine results, advertisements, and web content against client guidelines. Labeled and rated query intent, landing page quality, content usefulness, and search result accuracy to improve user satisfaction. Conducted multimodal dataset quality reviews and compliance checks for generative and multimodal AI outputs. • Query intent and search relevance evaluation. • Landing page quality and usefulness assessment. • Visual quality reviews and compliance assessments for multimodal datasets. • Annotated images/videos for computer vision training tasks.

2023 - 2024

AI Training and Linguistic Quality Assurance Specialist - TELUS International

LabelboxTextSegmentationClassification

Trained and evaluated large language models through supervised evaluation and quality review workflows focused on NLP and multilingual tasks. Completed large volumes of validation and annotation work, including response ranking, prompt evaluation, and linguistic QA. Improved dataset consistency through linguistic review and supported reinforcement learning and human-feedback initiatives to enhance model performance. • Evaluated LLM outputs for factuality, relevance, safety, and instruction adherence. • Completed large-scale annotation and validation tasks for transcription, localization, and NLP. • Performed linguistic quality assurance reviews and improved inter-annotator agreement. • Supported human-feedback and reinforcement learning efforts with structured quality reporting.

2021 - 2023

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Education

Work History