Kenzy Mohamed

Key Skills

Software

Labelbox

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Video

Top Task Types

Evaluation Rating

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

I am a highly motivated bilingual freelancer with over 1 year of hands-on experience in transcription and data labelling. I specialize in providing accurate and well-formatted transcriptions in both English and Arabic, with excellent attention to detail, fast typing (70+ WPM), and a strong command of grammar and punctuation. My background also includes experience with data annotation and labeling tools such as Labelbox, Remotasks, and MakeSense.ai, where I worked on image, text, and audio classification tasks. I am quick to learn new platforms, committed to delivering high-quality results on time, and always maintain strict confidentiality with all data and content. My skills include: • Audio & Video Transcription (English/Arabic) • Verbatim & Clean Style Transcripts • Timestamping & Speaker Identification • Subtitling & Captioning (SRT format) • Data Labeling (Image, Text, Audio) • Typing Speed: 70+ WPM • Proofreading & Editing • Translation (Arabic ↔ English) • Tools: Express Scribe, Otter.ai, Labelbox, Remotasks, Google Docs, Microsoft Office If you’re looking for a detail-oriented, fast, and reliable freelancer to support your transcription or data labeling needs—I’m ready to help. Let’s work together!

Labeling Experience

arabic and English transcription

Data Annotation TechVideoText Generation

was hired to transcribe a 10-episode podcast series (each episode 30–45 minutes long) featuring bilingual interviews in Arabic and English. My task was to produce highly accurate, time-stamped transcripts that captured every detail, including speaker identification and background context when relevant

was hired to transcribe a 10-episode podcast series (each episode 30–45 minutes long) featuring bilingual interviews in Arabic and English. My task was to produce highly accurate, time-stamped transcripts that captured every detail, including speaker identification and background context when relevant

2024

Education

Work History