Kuru

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

Natural Language Processing

Multilingual AI

Text Analytics

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Entity (NER) Classification

Bounding Box

Transcription

Action Recognition

Freelancer Overview

Data Labeling & Annotation Specialist. Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio, CVAT, and Audino. Education includes Bachelor of Science, Rift Valley University (2025). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Transcription.

Labeling Experience

Data Labeling & Annotation Specialist

Label StudioVideoAction Recognition

I annotated video datasets for action recognition, temporal event segmentation, and object tracking. Tasks included drawing temporal bounding boxes, scene transitions, and activity boundaries across multi-frame sequences using Label Studio and CVAT. The project supported video understanding and object tracking model development. • Labeled temporal events and object activities in videos. • Utilized bounding box and tracking techniques for sequences. • Collaborated on scene transition annotation. • Conducted quality assurance for accurate video labeling.

2025 - Present

Data Labeling & Annotation Specialist

AudioTranscription

I labeled audio datasets for speech recognition (ASR) and speaker diarization tasks, focusing on transcription, phoneme alignment, and speaker turn annotation. The role involved working across multilingual corpora, applying noise and silence tags, and ensuring precise audio labeling using Audino. Deliverables included transcribed and annotated datasets suitable for ASR model training. • Performed audio transcription and time alignment. • Labeled for speaker diarization and noise/silence events. • Managed tasks in Audino for multilingual corpora. • Provided detailed annotation guidelines to ensure label quality.

2025 - Present

Data Labeling & Annotation Specialist

CVATImageBounding Box

I conducted image annotation using bounding boxes, polygon segmentation, and keypoint labeling to support computer vision model training. This included datasets for object detection and pose estimation using CVAT and Label Studio. The process ensured dataset quality and adherence to annotation guidelines. • Applied bounding boxes and segmentation on images. • Labeled keypoints for pose estimation tasks. • Utilized annotation tools for image data management. • Supported quality assurance and label consistency across image projects.

2025 - Present

Data Labeling & Annotation Specialist

Label StudioTextEntity (NER) Classification

I annotated over 15,000 text samples for various NLP tasks, including named entity recognition, sentiment classification, intent detection, and coreference resolution in English, Amharic, and Oromo. The work focused on high-quality, multilingual language data for NLP and language model development. I utilized Label Studio and structured annotation workflows to ensure dataset readiness for training. • Performed NER, sentiment, and intent labeling on text datasets. • Applied ontology-based labeling frameworks for consistency. • Contributed to coreference resolution and classifying ambiguous samples. • Used quality assurance reviews to improve inter-annotator agreement.

2025 - Present

Education

Work History