Lenah M.

Key Skills

Software

No software listed

Top Subject Matter

Multilingual text (Amharic/English) for NLP training

Computer vision object tagging/labeling

Audio data evaluation for speech recognition/language models

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Object Detection

Freelancer Overview

AI Data Annotation & Evaluation Specialist (Multilingual Text Annotation Project). Core strengths include N and A. Education includes Master’s Degree, Anglia Raskin University (Cambridge) (2023) and Bachelor’s Degree, Jomo Kenyatta University (2018). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Object Detection, and Evaluation.

Labeling Experience

AI Data Annotation & Evaluation Specialist (Audio Data Evaluation Project)

Audio

Reviewed and evaluated audio files for clarity, relevance, and correctness to support speech recognition and language models. Labeled audio quality attributes according to task requirements and project standards. Ensured outputs aligned with guideline compliance through systematic quality checks. • Assessed audio recordings for clarity and correctness • Labeled relevance and usability for model training • Performed evaluation-driven quality assurance • Supported speech and language modeling dataset preparation

Present

AI Data Annotation & Evaluation Specialist (Image & Video Object Tagging Project)

ImageObject Detection

Tagged and labeled objects in images and video frames for computer vision model training. Followed strict annotation guidelines to maintain consistency across large datasets. Completed quality assurance reviews to ensure labeled outputs met project performance standards. • Labeled objects within images according to guidelines • Maintained consistency across large image/video datasets • Performed QA checks to reduce errors and improve reliability • Supported dataset readiness for downstream CV model training

Present

AI Data Annotation & Evaluation Specialist (Multilingual Text Annotation Project)

TextEntity (NER) Classification

Performed data annotation and evaluation for multilingual NLP datasets. Labeled intent, sentiment, and contextual meaning with attention to linguistic and cultural accuracy. Applied pairwise comparisons and relevance checks between data samples to support model training. • Annotated Amharic and English text for NLP tasks • Verified contextual meaning and consistency against guidelines • Conducted quality assurance checks for accuracy and guideline compliance • Supported evaluation of labeled data for relevance and correctness

Present

Education

Work History