Leonna M.

Key Skills

Software

Appen

CloudFactory

Top Subject Matter

Voice recognition training

English and Kiswahili linguistic transcription.

AI dataset labeling

Top Data Types

Audio

Text

Image

Top Task Types

Transcription

Classification

Emotion Recognition

Freelancer Overview

Transcription Specialist at Appen (2026–Present).. Core strengths include Appen, Nidra, and CloudFactory. Education includes EF SET English Certificate, EF SET (2026) and Bachelor of Science, University of Nairobi (2021). AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription, Classification, and Emotion Recognition.

Labeling Experience

Transcription Specialist at Appen (2026–Present).

AppenAudioTranscription

Transcribed spoken content in English and Kiswahili to support voice recognition model training and dataset creation. Followed complex linguistic guidelines to keep annotations consistent and reliable for downstream machine learning use. Performed quality assurance to sustain a high accuracy level in linguistic data processing. • Generated high-accuracy English and Kiswahili transcriptions. • Followed complex linguistic guidelines for consistency. • Maintained 99%+ accuracy and dataset quality. • Supported training of voice recognition systems using labeled audio.

2026 - Present

Data Labeling Specialist at Nidra (2026).

TextClassification

Performed specialized labeling and classification tasks for AI training projects, focusing on both text and computer vision related datasets. Met and exceeded daily throughput and quality benchmarks required for production annotation workflows. Contributed to high-profile training efforts by ensuring labeled data met project standards. • Specialized labeling and classification for AI training. • Applied labeling requirements for text and computer vision datasets. • Achieved/exceeded daily throughput targets. • Ensured quality compliance for labeled outputs.

2026 - 2026

Data Annotator at CloudFactory (2025).

CloudFactoryTextEmotion Recognition

Annotated text data using classification and sentiment analysis to refine AI language model performance. Collaborated across diverse annotation assignments requiring contextual and linguistic understanding. Ensured labeled outputs were consistent with project objectives for model improvement. • Performed text classification and sentiment analysis. • Refined AI language model behavior via annotations. • Worked on diverse contextual/language-sensitive tasks. • Supported accuracy of labeled datasets for NLP training.

2025 - 2025

Education

Work History