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Gid

Gid

Data Annotation Specialist

NIGERIA flag
Ibadan, Nigeria
$7.00/hrIntermediateCVATDoccanoLabelbox

Key Skills

Software

CVATCVAT
DoccanoDoccano
LabelboxLabelbox
Label StudioLabel Studio
Scale AIScale AI
Other

Top Subject Matter

Natural Language Processing
Speech Recognition
Computer Vision (Video)

Top Data Types

TextText
AudioAudio
VideoVideo
ImageImage
DocumentDocument

Top Task Types

Entity Ner Classification
Transcription
Action Recognition
Classification
Object Detection
Segmentation

Freelancer Overview

Data Annotation Specialist (Text). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Ibadan. AI-training focus includes data types such as Text, Audio, and Video and labeling workflows including Entity (NER) Classification, Transcription, and Action Recognition.

IntermediateYorubaEnglish

Labeling Experience

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.

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.

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.

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

AI Training Data Contributor (Video)

Video
During my time with Atlas, I worked on data research and video content evaluation tasks to validate AI model outputs and improve relevance. Responsibilities involved performance assessment, multimedia content comparison, and data quality assurance. Played a key role in refining video data used for training models. • Conducted video pairwise comparison and evaluation tasks. • Labeled and documented edge cases for model refinement. • Helped validate model-generated video content quality. • Followed strict video annotation guidelines for consistency.

During my time with Atlas, I worked on data research and video content evaluation tasks to validate AI model outputs and improve relevance. Responsibilities involved performance assessment, multimedia content comparison, and data quality assurance. Played a key role in refining video data used for training models. • Conducted video pairwise comparison and evaluation tasks. • Labeled and documented edge cases for model refinement. • Helped validate model-generated video content quality. • Followed strict video annotation guidelines for consistency.

Not specified

AI Training Data Contributor (Image)

ImageObject Detection
At Atlas, I supported object detection and content categorization for image-based AI training projects. My contributions focused on accurate image annotation, tagging, and iterative data refinement. Consistently delivered high-quality labeled data for various ML initiatives. • Tagged and classified image contents using precise guidelines. • Participated in iterative evaluation and dataset improvement process. • Ensured image label consistency and resolved annotation errors. • Provided feedback on guidelines for complex or ambiguous images.

At Atlas, I supported object detection and content categorization for image-based AI training projects. My contributions focused on accurate image annotation, tagging, and iterative data refinement. Consistently delivered high-quality labeled data for various ML initiatives. • Tagged and classified image contents using precise guidelines. • Participated in iterative evaluation and dataset improvement process. • Ensured image label consistency and resolved annotation errors. • Provided feedback on guidelines for complex or ambiguous images.

Not specified

Education

U

University of Ibadan

Bachelor of Science, Administration and Management

Bachelor of Science
2022 - 2026

Work History

F

Freelance

UI/UX Designer

N/A
2021 - Present
A

Atlas Capture

AI Training Data Contributor

CA
2025 - 2026