Nelson Kipleting

Key Skills

Software

Appen

CloudFactory

Remotasks

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Action Recognition

Bounding Box

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

I have a great deal of experience labeling data and preparing AI training data, with a focus on computer vision, natural language processing (NLP), and speech recognition model annotation. Image segmentation, object detection, named entity recognition (NER), sentiment analysis, and audio transcription are among the tasks in which I am skilled. I have experience working with industry-standard annotation tools such as Prodigy, CVAT, and Labelbox, which guarantee scalable, consistent, and high-quality datasets for machine learning applications. My ability to create effective annotation workflows, put quality control procedures in place, and work with data scientists to improve labeling guidelines is what makes me unique. I have worked on projects involving financial document processing, autonomous driving, and healthcare AI, guaranteeing data accuracy and adherence to domain-specific specifications. My excellent problem-solving abilities, meticulous attention to detail, and background in annotation

Labeling Experience

Telus International

TelusVideoBounding BoxSegmentation

LArge data sets, checking time correspondence and relevance to the subject matter

LArge data sets, checking time correspondence and relevance to the subject matter

2021 - 2024

Education

Work History