Samuel K.

Key Skills

Software

Appen

Top Subject Matter

Computer vision image data (multilingual context not specific for images)

Text data for AI training and classification (Kiswahili, English, French)

Audio and video transcription data for AI training

Top Data Types

Image

Text

Audio

Top Task Types

Object Detection

Transcription

Freelancer Overview

Appen. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Object Detection, Entity (NER), and Transcription.

Labeling Experience

Data Annotator (Transcription) at Appen (Remote, 2026–Present)

AppenAudioTranscription

Transcribed audio and video content with attention to accuracy, formatting, and timing requirements. Produced clean, reliable transcriptions aligned to task instructions for AI training data. Performed additional self-checks to ensure outputs met project benchmarks. • Audio/video transcription with precise timing • Correct formatting and content capture • Review and self-check for accuracy • Meeting deadlines while working remotely

2026 - Present

Data Annotator (Text Annotation & Classification) at Appen (Remote, 2026–Present)

AppenText

Carried out text annotation and classification tasks, tagging content according to detailed project-specific guidelines. Ensured labels were applied accurately to support AI training and content understanding objectives. Maintained high accuracy through review and self-check processes. • Text classification and content tagging • Adherence to detailed annotation standards • Quality-focused self-review before submission • Handling multiple concurrent annotation projects

2026 - Present

Data Annotator (Image Labelling) at Appen (Remote, 2026–Present)

AppenImageObject Detection

Performed image labelling tasks to support computer vision model training by identifying and categorising objects in images. Applied guidelines consistently to ensure accurate annotations suitable for downstream machine learning use. Completed self-checks and reviews to maintain quality scores and meet project accuracy benchmarks. • Object identification and categorisation • Follow strict project-specific labelling guidelines • Independent work in a remote, deadline-driven environment • Quality review and self-audit for accuracy

2026 - Present

Education

Work History