Trizah K.

Key Skills

Software

Label Studio

Top Subject Matter

Large language model (LLM) RLHF training for customer-facing chatbots

NLP classification and named-entity recognition (NER) model training

Top Data Types

Text

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

AI Trainer & Data Annotation Specialist — TechBridge AI Solutions (LLM RLHF data labeling). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Hugging Face Transformers. Education includes Bachelor of Science, University of Nairobi (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF and Fine-tuning.

Labeling Experience

AI Trainer & Data Annotation Specialist — TechBridge AI Solutions (LLM RLHF data labeling)

Label StudioTextRLHF

AI Trainer & Data Annotation Specialist role focused on creating and refining labeled training data for LLM RLHF pipelines to improve response quality. • Designed and refined 15,000+ annotated training examples for RLHF. • Created annotation guidelines and quality rubrics for a team of 12 annotators across multiple labeling projects. • Evaluated model outputs to identify failure modes and prioritize high-impact training data. • Engineered and tested 200+ system prompts to reduce hallucination rate by 22%.

2023 - Present

Junior Machine Learning Engineer — DataForge Labs (NLP model training and evaluation support)

TextFine-tuning

Junior Machine Learning Engineer supported NLP model development with domain-specific training datasets and fine-tuning workflows. • Built data preprocessing pipelines for NLP classification and NER tasks using domain datasets. • Fine-tuned BERT-based models on domain-specific datasets to improve F1-score. • Supported research activities including literature review and experimental setups. • Implemented automated evaluation scripts to reduce manual review time by 35% per release cycle.

2022 - 2022

Education

Work History