Kipngeno Jairus

Key Skills

Software

SuperAnnotate

CVAT

Top Subject Matter

AI and machine learning data preparation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Freelancer Overview

Data Annotator | Dataforce (by TransPerfect). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include SuperAnnotate and CVAT. Education includes Bachelor of Science, Technical University of Mombasa (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Bounding Box.

Labeling Experience

Data Annotator | Innodata

CVATImageBounding Box

Annotated and reviewed text, image, and video datasets for AI model development. Corrected bounding boxes and refined segmentation masks to ensure label accuracy. Maintained confidentiality while handling sensitive content and met strict deadlines. • Used CVAT, Labelbox, and SamaHub for annotation and review. • Worked with international teams remotely to deliver high-quality data. • Focused on bounding box correction and segmentation tasks. • Met quality benchmarks consistently across projects.

Annotated and reviewed text, image, and video datasets for AI model development. Corrected bounding boxes and refined segmentation masks to ensure label accuracy. Maintained confidentiality while handling sensitive content and met strict deadlines. • Used CVAT, Labelbox, and SamaHub for annotation and review. • Worked with international teams remotely to deliver high-quality data. • Focused on bounding box correction and segmentation tasks. • Met quality benchmarks consistently across projects.

2025 - 2026

Data Annotator | Dataforce (by TransPerfect)

SuperannotateTextClassification

Labeled and reviewed multilingual text, image, and audio datasets to support AI model training. Performed quality checks on annotations for accuracy and consistency. Adhered to project guidelines and escalated unclear data and edge cases for review. • Used annotation platforms such as SuperAnnotate, Scale AI, and VIA. • Ensured compliance with labeling standards on diverse datasets. • Worked with multiple data modalities, including text and audio. • Maintained high-quality outputs in a remote, independent setting.

Labeled and reviewed multilingual text, image, and audio datasets to support AI model training. Performed quality checks on annotations for accuracy and consistency. Adhered to project guidelines and escalated unclear data and edge cases for review. • Used annotation platforms such as SuperAnnotate, Scale AI, and VIA. • Ensured compliance with labeling standards on diverse datasets. • Worked with multiple data modalities, including text and audio. • Maintained high-quality outputs in a remote, independent setting.

2024 - 2025

Education

Work History