Gideon Langat

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

I am an experienced AI and data annotation specialist with a strong background in preparing high quality datasets for machine learning and large language model training. My expertise includes text and image labeling, multilingual transcription and translation, and prompt evaluation, all performed with a focus on accuracy and adherence to detailed guidelines. I have worked extensively with tools like CVAT, Labelbox, and Excel/Google Sheets, contributing to projects that required annotating and reviewing over 15,000 entries with 99% guideline compliance. My ability to document annotation decisions, verify data consistency, and adapt quickly to new AI workflows has helped improve dataset reliability and model performance. I thrive in remote, collaborative environments and am committed to ensuring the integrity and quality of training data for advanced AI systems.

Labeling Experience

Freelance Data Labeling / AI Training Contributor

CVATTextClassification

As a Freelance Data Labeling/AI Training Contributor, I annotated and verified diverse text entries for machine learning model training. My responsibilities included reviewing and refining AI-generated outputs and documenting annotation rationale for reproducible and scalable datasets. I adhered strictly to complex guidelines while ensuring multilingual accuracy and dataset integrity. • Labeled, annotated, and quality-checked over 15,000 text entries, maintaining a 99% accuracy rate. • Evaluated and refined outputs from large language models to improve model quality by 5%. • Conducted multilingual transcription and translation for global AI projects, ensuring high-quality language data. • Documented decision rationale to ensure dataset reproducibility across large volumes.

As a Freelance Data Labeling/AI Training Contributor, I annotated and verified diverse text entries for machine learning model training. My responsibilities included reviewing and refining AI-generated outputs and documenting annotation rationale for reproducible and scalable datasets. I adhered strictly to complex guidelines while ensuring multilingual accuracy and dataset integrity. • Labeled, annotated, and quality-checked over 15,000 text entries, maintaining a 99% accuracy rate. • Evaluated and refined outputs from large language models to improve model quality by 5%. • Conducted multilingual transcription and translation for global AI projects, ensuring high-quality language data. • Documented decision rationale to ensure dataset reproducibility across large volumes.

2024

Education

Work History