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Peter Munene

Peter Munene

AI Data Specialist - Video Annotation

KENYA flag
Meru, Kenya
$60.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio

Top Label Types

Text Generation
Text Summarization
Audio Recording
Transcription

Freelancer Overview

I am an AI data specialist with hands-on experience in video annotation, scene description, and caption refinement using the Atlas platform. My work involves translating complex visual narratives into precise, descriptive metadata for AI training, with a strong focus on technical cinematic terminology and accuracy. I leverage LLMs and AI tools to synthesize and validate both visual and text-based datasets, ensuring they meet rigorous standards for modern AI models. With a background in electrical and electronics engineering and a specialization in automation and IoT, I bring strong technical literacy, spatial analysis, and documentation skills to every project. I am fluent in English and Kiswahili and thrive in fast-paced, remote environments where attention to detail and high-quality output are essential.

IntermediateEnglishSwahili

Labeling Experience

Trancript editor/Annotator

OtherAudioText GenerationText Summarization
Worked on a fully remote transcript editing and annotation project focused on improving the accuracy of audio-to-text data. The role involved reviewing and correcting machine-generated transcripts, fixing grammar and punctuation, labeling speakers where required, and flagging unclear audio segments according to set guidelines. The project was handled at scale with consistent workloads, and quality was measured through accuracy checks, guideline compliance, and review feedback to ensure clean, reliable data suitable for AI and language-processing systems.

Worked on a fully remote transcript editing and annotation project focused on improving the accuracy of audio-to-text data. The role involved reviewing and correcting machine-generated transcripts, fixing grammar and punctuation, labeling speakers where required, and flagging unclear audio segments according to set guidelines. The project was handled at scale with consistent workloads, and quality was measured through accuracy checks, guideline compliance, and review feedback to ensure clean, reliable data suitable for AI and language-processing systems.

2025

Education

S

SAMBURU TECHNICAL COLLEGE

Diploma in electronics engineering(automation and Iot), AUTOMATION AND IOT ENGINEERING

Diploma in electronics engineering(automation and Iot)
2023 - 2025

Work History

A

Atlas Capture platform

AI Data specialist(video annotation)

Meru
2024 - Present