Kevin Kiprono Kiprono

Key Skills

Software

Label Studio

Remotasks

Other

Top Subject Matter

Natural Language Processing

Conversational AI

Machine Learning Dataset Quality

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

Data Labeling Specialist / AI Annotation Analyst (Independent Practice). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Remotasks, and Other. Education includes Bachelor of Science, Open University (2025) and Certificate, Moringa School (2024). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Labeling Specialist / AI Annotation Analyst (Independent Practice)

Label StudioTextClassification

As a Data Labeling Specialist / AI Annotation Analyst, I labeled large-scale text datasets for NLP and LLM model training. My responsibilities included applying annotation guidelines to ensure consistent, accurate text classification and prompt-response evaluations. I performed QA/QC, detected hallucinations, and prepared datasets for RLHF and supervised fine-tuning workflows. • Conducted text classification, tagging, and categorization following predefined schemas. • Evaluated AI-generated outputs, ranking and annotating responses for RLHF pipelines. • Applied strict QA checks to flag and correct inconsistencies, bias, and edge cases. • Generated synthetic data and curated datasets to improve LLM robustness and coverage.

As a Data Labeling Specialist / AI Annotation Analyst, I labeled large-scale text datasets for NLP and LLM model training. My responsibilities included applying annotation guidelines to ensure consistent, accurate text classification and prompt-response evaluations. I performed QA/QC, detected hallucinations, and prepared datasets for RLHF and supervised fine-tuning workflows. • Conducted text classification, tagging, and categorization following predefined schemas. • Evaluated AI-generated outputs, ranking and annotating responses for RLHF pipelines. • Applied strict QA checks to flag and correct inconsistencies, bias, and edge cases. • Generated synthetic data and curated datasets to improve LLM robustness and coverage.

2024 - Present

Education

Work History