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K
Kiplangat E.

Kiplangat E.

AI Data Labeling Specialist – CloudBridge AI Solutions

Kenya flagNairobi, Kenya

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI

Top Subject Matter

Large Language Models
Multilingual NLP
Machine Learning Applications: Images

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

AI Data Labeling Specialist – CloudBridge AI Solutions. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Scale AI. Education includes Bachelor of Science, Kenyatta University (2016). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Labelbox

AI Data Labeling Specialist – CloudBridge AI Solutions

LabelboxLabelboxTextText

Oversaw the evaluation and annotation of AI-generated responses for large language models. Ensured labeled output met strict quality, relevance, and consistency standards while supporting RLHF and multilingual tasks. Conducted prompt assessment and collaborated on annotation workflow improvements. • Evaluated and classified AI-generated text outputs for accuracy, safety, and completeness. • Performed quality control checks on multilingual datasets for LLM training. • Contributed to Reinforcement Learning from Human Feedback projects and prompt evaluation assignments. • Trained and mentored new annotation contributors on workflow and guidelines.

2022 - Present
Scale AI

Data Annotation Associate – Digital Insights Africa

Scale AIScale AIImageImageClassificationClassification

Labeled and reviewed image, text, and audio data to support various machine learning and AI initiatives. Focused on improving the consistency and reliability of AI training datasets across modalities. Participated in content moderation and sentiment analysis projects for social media and NLP use cases. • Classified images and annotated text/audio data for sentiment and content. • Ensured dataset reliability through internal annotation reviews and QA. • Supported cross-functional remote teams to meet project deadlines. • Managed data organization and reporting using spreadsheets and annotation tools.

2019 - 2022

Education

K

Kenyatta University

Bachelor of Science, Information Technology

Bachelor of Science
2012 - 2016

Work History

K

Kenya Information and Communications Research Centre

Research Assistant Intern

Nairobi
2017 - 2018