Dancun Kipkoech

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Top Label Types

Audio Recording

Classification

Entity Ner Classification

RLHF

Segmentation

Freelancer Overview

I am an analytical and detail-oriented AI evaluation professional with hands-on experience in data labeling, annotation, and quality assurance for machine learning projects, particularly in natural language processing and multimodal applications. My background includes high-accuracy annotation of complex datasets, named entity recognition, sentiment analysis, and intent classification, as well as designing and implementing RLHF (Reinforcement Learning from Human Feedback) processes to refine large language models. I have worked closely with cross-functional teams to address edge cases, improve annotation rubrics, and develop tools for detecting low-quality data. Skilled in prompt engineering, adversarial testing, Python, and SQL, I am passionate about ensuring the safety, accuracy, and natural resonance of AI systems by leveraging rigorous evaluation frameworks and best practices in data quality.

Labeling Experience

Data Annotation Specialist

AppenTextEntity Ner ClassificationSegmentation

Completed high-accuracy data labeling and annotation for complex machine learning datasets, with a 99% accuracy level adhering to project guidelines. Completed Named Entity Recognition, sentiment analysis, and intent classification for more than 50,000 conversational data points to train NLP models in the early stages.

Completed high-accuracy data labeling and annotation for complex machine learning datasets, with a 99% accuracy level adhering to project guidelines. Completed Named Entity Recognition, sentiment analysis, and intent classification for more than 50,000 conversational data points to train NLP models in the early stages.

2025 - 2025

Education

Work History