Alvin A.

Key Skills

Software

Label Studio

CVAT

Other

Top Subject Matter

Conversational AI / NLP datasets

Computer vision datasets (object detection/recognition)

Speech recognition / voice datasets

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Segmentation

Transcription

Freelancer Overview

Data Annotation Specialist / AI Data Labeling Contributor (Text, NLP labeling). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, CVAT, and or proprietary labeling systems. Education includes Bachelor of Business Information Technology, Kabarak University (2022) and Certificate in Software Engineering (Full Stack), Moringa School (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Segmentation, and Transcription.

Labeling Experience

Data Annotation Specialist / AI Data Labeling Contributor (Audio, speech labeling)

OtherAudioTranscription

Processed and labeled audio datasets for speech-to-text and voice recognition systems to ensure high-quality training data. Ensured accurate transcription alignment and performed speaker identification according to annotation standards. Maintained privacy and compliance requirements when annotating sensitive or structured datasets, and supported dataset quality through review and validation. • Transcription alignment for speech-to-text training • Speaker identification labeling for voice recognition • Compliance/privacy-aware handling of sensitive audio • QA validation to resolve inconsistencies and improve dataset integrity

2023 - Present

Data Annotation Specialist / AI Data Labeling Contributor (Images, CV labeling)

Label StudioImageSegmentation

Annotated and labeled image datasets to provide accurate training inputs for computer vision models used in object detection and recognition. Applied bounding box labeling, segmentation, and classification while following strict annotation guidelines to maintain dataset consistency. Participated in peer-label validation and corrected inconsistencies to improve overall dataset integrity. • Bounding box labeling for object detection • Segmentation mask creation for fine-grained vision tasks • Image classification labeling for recognition pipelines • QA validation of peer-labeled images and discrepancy resolution

2023 - Present

Data Annotation Specialist / AI Data Labeling Contributor (Text, NLP labeling)

Label StudioTextEntity (NER) Classification

Annotated and structured large-scale text datasets for machine learning and AI model development, supporting conversational AI and automation systems. Performed NLP labeling tasks including named entity recognition (NER), sentiment classification, intent detection, and text categorization using defined guidelines and taxonomies. Ensured consistency across the dataset to reduce labeling errors and improve model reliability. • NER entity labeling for conversational and automation contexts • Sentiment and intent classification for conversational AI inputs • Text categorization/label assignment following taxonomy rules • QA review of peer-labeled text data and resolution of inconsistencies

2023 - Present

Education

Work History