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Esther Adenibuyan

Esther Adenibuyan

Data Annotator, Video to Text

Nigeria flagN/A, Nigeria
$30.00/hrExpertOtherMicro1Toloka

Key Skills

Software

Other
Micro1
TolokaToloka
LionbridgeLionbridge

Top Subject Matter

Human Activity Recognition for Generative AI
Image Content Alignment and Prompt Evaluation
Generative AI Video Quality and Activity Recognition

Top Data Types

VideoVideo
ImageImage
TextText

Top Task Types

Action RecognitionAction Recognition
Bounding BoxBounding Box
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating
ClassificationClassification

Freelancer Overview

Data Annotator, Video to Text. Professional background includes roles such as Volunteer and Sales Representative. Core strengths include Other. Education includes Bachelor of Science, University of Benin (2010). AI-training focus includes data types such as Video and Image and labeling workflows including Action Recognition, Evaluation, and Rating.

ExpertEnglishYoruba

Labeling Experience

Data Annotator, Artificial Intelligence Operations

OtherVideo
As a Data Annotator at Otaku.Hugo Company Limited, I evaluated AI-generated videos for multiple quality factors including visual realism, identity consistency, lip syncing, gaze, and emotion-audio matching. I also annotated human actions and object interactions similar to previous roles, and verified the precision of AI-generated prompts and responses. My input directly influenced the improvement of generative AI video models. • Rated visual and audio synchronization quality in generated videos • Annotated human actions, posture, and tool usage • Evaluated the alignment of AI-generated responses to video content • Supported activity recognition in complex video scenarios

As a Data Annotator at Otaku.Hugo Company Limited, I evaluated AI-generated videos for multiple quality factors including visual realism, identity consistency, lip syncing, gaze, and emotion-audio matching. I also annotated human actions and object interactions similar to previous roles, and verified the precision of AI-generated prompts and responses. My input directly influenced the improvement of generative AI video models. • Rated visual and audio synchronization quality in generated videos • Annotated human actions, posture, and tool usage • Evaluated the alignment of AI-generated responses to video content • Supported activity recognition in complex video scenarios

Not specified

Data Annotator, Prompt / Image Quality

OtherImage
At Remoxpert, Abaka AI, I served as a Data Annotator focusing on prompt and image quality assessment for AI training. My responsibilities included verifying the alignment between image content and AI-generated responses, as well as rating accuracy and ensuring consistency. I also tracked object state changes across image segments to support ongoing model refinement. • Evaluated AI-generated responses for visual correctness • Rated accuracy based on detailed content alignment criteria • Tracked object state changes in sequential image datasets • Supported quality assurance in AI model training loops

At Remoxpert, Abaka AI, I served as a Data Annotator focusing on prompt and image quality assessment for AI training. My responsibilities included verifying the alignment between image content and AI-generated responses, as well as rating accuracy and ensuring consistency. I also tracked object state changes across image segments to support ongoing model refinement. • Evaluated AI-generated responses for visual correctness • Rated accuracy based on detailed content alignment criteria • Tracked object state changes in sequential image datasets • Supported quality assurance in AI model training loops

Not specified

Data Annotator, Video to Text

OtherVideoAction Recognition
As a Data Annotator for Atlas, I labeled human actions in video datasets for training generative AI systems. My work involved identifying specific tool usage, object interactions, hand and finger motions, posture, and spatial relationships. I also tracked changes in object states across video segments to enable more accurate activity recognition and support robust model training. • Labeled human actions using detailed annotation guidelines • Captured and tracked object state changes across video timelines • Highlighted tool and body part interactions for model improvement • Contributed annotations to generative AI development pipelines

As a Data Annotator for Atlas, I labeled human actions in video datasets for training generative AI systems. My work involved identifying specific tool usage, object interactions, hand and finger motions, posture, and spatial relationships. I also tracked changes in object states across video segments to enable more accurate activity recognition and support robust model training. • Labeled human actions using detailed annotation guidelines • Captured and tracked object state changes across video timelines • Highlighted tool and body part interactions for model improvement • Contributed annotations to generative AI development pipelines

Not specified

Education

U

University of Benin

Bachelor of Science, Political Science and Public Administration

Bachelor of Science
2006 - 2010

Work History

F

Friesland Campina

Sales Representative

N/A
Not specified
N

NPower

Volunteer

N/A
Not specified