Gid

Key Skills

Software

CVAT

Doccano

Labelbox

Label Studio

Scale AI

Other

Don't disclose

Top Subject Matter

Natural Language Processing

Speech Recognition

Computer Vision (Video)

Top Data Types

Text

Audio

Video

Image

Document

Top Task Types

Entity (NER) Classification

Transcription

Action Recognition

Classification

Object Detection

Segmentation

Freelancer Overview

Remoter.me | Data Annotation Specialist (Contract) — Text annotation and QA. Brings 1+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Bachelor’s Degree in Administration and Management, University of Ibadan and Advanced UI Design (Google) Certification, Google. AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including Entity (NER) Classification, Transcription, and Action Recognition.

Labeling Experience

YPAI | Data Labeling Specialist (Contract) — Multi-modal annotation and evaluation

Don't discloseVideoSegmentation

Executed multi-modal data annotation for AI model training with emphasis on accuracy, consistency, and adherence to complex guidelines. Labeled content across text, audio, video, and image modalities using advanced techniques such as object tagging, semantic categorization, and attribute annotation. Documented labeling decisions, performed evaluation of AI output quality, and handled edge cases to support dataset improvements. • Performed object tagging, semantic categorization, and attribute annotation • Conducted data evaluation to identify improvement opportunities • Completed counting/enumeration, object identification, and content verification tasks • Maintained documentation for annotation decisions and edge-case handling

Not specified

Remoter.me | Data Annotation Specialist (Contract) — Video tracking/actions/temporal labeling

Don't discloseVideoAction Recognition

Annotated video datasets for temporal understanding and ML training, including object tracking, action recognition, and scene/event labeling. Conducted dataset evaluation and refinement to ensure labels matched annotation guidelines and project requirements. Sustained 95%+ accuracy through repeated quality checks and edge-case handling. • Labeled objects with tracking annotations across video sequences • Applied action recognition and temporal event labeling • Performed scene and segment labeling for temporal understanding • Maintained dataset quality through QA, validation, and refinements

Not specified

Data Labeling Specialist (Image)

ImageSegmentation

In my YPAI role, I took part in segmentation, tagging, and classification of image data for AI models requiring complex image understanding. Responsibilities entailed applying advanced annotation techniques and maintaining precise records of labeling activities. Ensured high consistency and rapid adjustment as annotation guidelines evolved. • Segmented image data and applied detailed tags. • Classified images by attributes for training use. • Verified quality and consistency in large datasets. • Recorded and updated annotation logs for future reference.

Not specified

Data Labeling Specialist (Video)

VideoObject Detection

As a Data Labeling Specialist at YPAI, I worked on object detection and action labeling for video data used in computer vision model training. Main tasks included object identification, action tagging, and thorough content verification. Delivered high-volume, high-accuracy labeling in compliance with strict guidelines. • Identified and labeled objects and actions per video frame. • Reviewed annotated video data for errors or ambiguity. • Ensured accurate documentation of labeling decisions. • Adapted rapidly to guideline and project changes.

Not specified

Data Labeling Specialist (Text)

TextClassification

At YPAI, I handled specialized text annotation projects focusing on content categorization and semantic labeling. Responsibilities included classification, object tagging, and rigorous content verification for AI model training. Maintained clear documentation and consistently exceeded productivity and accuracy benchmarks. • Classified text data into detailed categories. • Performed object tagging and semantic annotation tasks. • Verified dataset accuracy and recorded annotation decisions. • Adjusted quickly to evolving guidelines and project types.

Not specified

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Education

Work History