Thiongo Methu

Key Skills

Software

Scale AI

Labelbox

Label Studio

Top Subject Matter

Natural Language Processing

Computer Vision

Conversational AI

Top Data Types

Text

Image

Audio

Video

Document

Top Task Types

Entity Ner Classification

Classification

RLHF

Bounding Box

Polygon

Segmentation

Point Key Point

Object Detection

Freelancer Overview

Data Annotation Specialist. Brings 19+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Labelbox, and Label Studio. Education includes Bachelor of Science, Egerton University (2007). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Classification, and RLHF.

Labeling Experience

Data Annotation Specialist

Scale AITextEntity Ner ClassificationClassification

As a Data Annotation Specialist, I labeled and curated large-scale text, image, audio, and video datasets for AI/ML model training. I performed NER, sentiment analysis, intent classification, coreference resolution, object detection, semantic segmentation, and RLHF for fine-tuning language and computer vision models. I ensured high data accuracy through QA, maintained annotation guidelines, and used platforms like Scale AI, Labelbox, and Label Studio. • Delivered 10,000+ annotated images for computer vision and 100,000+ labeled data points for NLP projects. • Developed and enforced high-accuracy guidelines that improved team output and reduced error rates by 30%. • Provided structured feedback to enhance annotation quality and flagged ambiguous samples for review. • Benchmarked AI outputs by evaluating responses for factual accuracy, coherence, and safety compliance.

As a Data Annotation Specialist, I labeled and curated large-scale text, image, audio, and video datasets for AI/ML model training. I performed NER, sentiment analysis, intent classification, coreference resolution, object detection, semantic segmentation, and RLHF for fine-tuning language and computer vision models. I ensured high data accuracy through QA, maintained annotation guidelines, and used platforms like Scale AI, Labelbox, and Label Studio. • Delivered 10,000+ annotated images for computer vision and 100,000+ labeled data points for NLP projects. • Developed and enforced high-accuracy guidelines that improved team output and reduced error rates by 30%. • Provided structured feedback to enhance annotation quality and flagged ambiguous samples for review. • Benchmarked AI outputs by evaluating responses for factual accuracy, coherence, and safety compliance.

2023 - Present

Education

Work History