Samuel

Key Skills

Software

Scale AI

Lionbridge

CVAT

Top Subject Matter

Speech/audio QA for AI language models

NLP/CV and sentiment annotation

content evaluation

Top Data Types

Audio

Text

Video

Image

Document

Top Task Types

Transcription

Classification

Action Recognition

Freelancer Overview

AI Language Labeler (Transcription & QA) | Remotasks / Scale AI. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Lionbridge, and CVAT. Education includes Bachelor of Science, University of Ilorin (2022) and National Diploma, Kwara State Polytechnic (2015). AI-training focus includes data types such as Audio, Text, and Video and labeling workflows including Transcription, Classification, and Action Recognition.

Labeling Experience

AI Language Labeler (Transcription & QA) | Remotasks / Scale AI

Scale AIAudioTranscription

Transcribed and performed QA on audio/video data to improve speech-related model performance and label reliability. Validated grammar, punctuation, and speaker labels across varying accents and contexts while maintaining high-volume turnaround times. Ensured work met project guidelines and target quality metrics throughout ongoing production cycles. • Transcription and transcription QA for speech data • Grammar/punctuation and speaker-label validation • Accent- and context-aware quality checking • Maintained 95%+ QA pass rate under deadlines

2025 - Present

Data Annotation & Labeling Specialist | Appen / Lionbridge

LionbridgeTextClassification

Annotated text, images, and structured records for NLP, computer vision, and sentiment analysis tasks under defined guidelines. Evaluated AI outputs and identified factual claims within social-content inputs to support quality and reliability goals. Focused on accuracy, consistency, and alignment to labeling instructions for each project. • Text, image, and structured-data annotation for NLP/CV tasks • Sentiment and related classification support • Factual-claim identification in social content • Quality assurance against project annotation guidelines

2024 - 2025

Video Annotation Specialist | Toloka / CVAT Projects

CVATVideoAction Recognition

Labeled objects and actions in video frames using annotation tools for computer vision datasets. Performed tracking and review of annotations to ensure accuracy and consistency across complex multi-object scenes. Applied project standards to achieve high annotation quality on challenging video sequences. • Object/action labeling per video-frame instructions • Annotation review for accuracy and consistency • Multi-object video dataset labeling • Achieved 98%+ accuracy on complex datasets

2024 - 2024

Education

Work History