Victor Kimeu

Key Skills

Software

Remotasks

Appen

Toloka

Labelbox

CVAT

Doccano

Top Subject Matter

Natural language processing for conversational AI

Intent Domain Expertise

and sentiment analysis.

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Classification

Bounding Box

Data Collection

Evaluation Rating

Text Generation

Computer Programming Coding

Freelancer Overview

Data Annotation Specialist (Text). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Appen, and Toloka. Education includes Bachelor of Science, Kenyatta University (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Bounding Box.

Labeling Experience

Data Annotation Specialist (Image)

RemotasksImageBounding Box

I labeled and annotated images by drawing bounding boxes and segmenting objects for computer vision model training on Remotasks, Appen, Toloka, and Uber AI platforms. My workflows involved high-volume object tagging, segmentation, and visual dataset validation to support object detection and classification projects. I rigorously adhered to annotation guidelines, achieving accuracy benchmarks and assisting in dataset quality improvements. • Applied bounding boxes for object detection and segmentation tasks on diverse visual datasets. • Performed object classification and tagging with attention to accuracy and project-specific instructions. • Participated in review cycles to identify and correct inconsistent or ambiguous labels. • Leveraged annotation tools such as CVAT, Labelbox, and Doccano for efficient task completion.

I labeled and annotated images by drawing bounding boxes and segmenting objects for computer vision model training on Remotasks, Appen, Toloka, and Uber AI platforms. My workflows involved high-volume object tagging, segmentation, and visual dataset validation to support object detection and classification projects. I rigorously adhered to annotation guidelines, achieving accuracy benchmarks and assisting in dataset quality improvements. • Applied bounding boxes for object detection and segmentation tasks on diverse visual datasets. • Performed object classification and tagging with attention to accuracy and project-specific instructions. • Participated in review cycles to identify and correct inconsistent or ambiguous labels. • Leveraged annotation tools such as CVAT, Labelbox, and Doccano for efficient task completion.

2023 - Present

Data Annotation Specialist (Text)

RemotasksTextClassification

As a data annotation specialist on platforms such as Remotasks, Appen, Toloka, and Uber AI, I labeled and classified text data for machine learning models. I performed annotation tasks focused on intent recognition, sentiment analysis, and conversational AI across multilingual datasets. Quality assurance was integral to my process, with close adherence to evolving project guidelines and accuracy standards. • Annotated and classified text for intent recognition, sentiment analysis, and conversational AI. • Conducted quality control reviews to boost dataset reliability and flagged low-quality data. • Followed complex annotation instructions to maintain consistent high standards (95–99% accuracy). • Collaborated with distributed teams, improving annotation guidelines and adapting to feedback loops.

As a data annotation specialist on platforms such as Remotasks, Appen, Toloka, and Uber AI, I labeled and classified text data for machine learning models. I performed annotation tasks focused on intent recognition, sentiment analysis, and conversational AI across multilingual datasets. Quality assurance was integral to my process, with close adherence to evolving project guidelines and accuracy standards. • Annotated and classified text for intent recognition, sentiment analysis, and conversational AI. • Conducted quality control reviews to boost dataset reliability and flagged low-quality data. • Followed complex annotation instructions to maintain consistent high standards (95–99% accuracy). • Collaborated with distributed teams, improving annotation guidelines and adapting to feedback loops.

2023 - Present

Education

Work History