Janet Ngetti

Key Skills

Software

Clickworker

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Label Types

Audio Recording

Classification

Data Collection

Freelancer Overview

I posses more than three years of experience in working on projects related to data annotation and AI training data and having used platforms like Remotasks and Clickworker. My areas of expertise include image annotation in this case of self-driven vehicles and computer vision model, text labeling in natural language processing (NLP) like sentiment analysis and entity recognition, audio tagging and transcription used in speech recognition system. I maintained an accuracy level of 95%and above in all these projects by adhering to very strict quality standards and maintaining ban eye for detail. Aside from technical annotation competency, i am well-versed in software like CVAT, LabelBOX, and system-specific user interfaces. My strengths include quality assurance consistency validation, and delivering projects on very short deadlines so the resultant dataset is not only correct but is primed and ready to be used in large scale machine applications. That i am adept at operating on several types of data (image, text and audio) and readily adapt to varied requirements in projects is what qualifies me to be a solid and dynamic addition to projects relating to AI training data.

Labeling Experience

Data Annotation Specialist

Scale AIImageBounding BoxSegmentation

Worked on large data AI training projects on Remotask (2021-2023) and Clickworker (2022-2025). Image projects involved tagging thousands of projects and road scene images to train autonomous vehicles and computer vision system. Text projects involved sentiment analysis, intention identification, and entity tagging to annotate NLP data. Voice projects involved transcription and acoustic event tagging to annotate speech recognition system. Met 95%+ accuracy and passed frequent quality audits while meeting deadline expectation and working with global teams.

Worked on large data AI training projects on Remotask (2021-2023) and Clickworker (2022-2025). Image projects involved tagging thousands of projects and road scene images to train autonomous vehicles and computer vision system. Text projects involved sentiment analysis, intention identification, and entity tagging to annotate NLP data. Voice projects involved transcription and acoustic event tagging to annotate speech recognition system. Met 95%+ accuracy and passed frequent quality audits while meeting deadline expectation and working with global teams.

2022 - 2025

Data Annotation Speciliast

Scale AIImageBounding BoxSegmentation

Designed and labeled data sets for AI projects such as vision-based self-driven cars, natural language processing with text classification, and speech recognition with audio tagging/transcription. obtained 95% accuracy on large projects with challenging quality audits and time limitation.

Designed and labeled data sets for AI projects such as vision-based self-driven cars, natural language processing with text classification, and speech recognition with audio tagging/transcription. obtained 95% accuracy on large projects with challenging quality audits and time limitation.

2021 - 2025

Education

Work History