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J

Juliana Agba

AI Training Foundations: Reinforcement Learning from Human Feedback (RLHF) and Model Output Evaluation

Nigeria flagAbuja, Nigeria
$10.00/hrIntermediateProdigyLabelbox

Key Skills

Software

ProdigyProdigy
LabelboxLabelbox

Top Subject Matter

AI Training
Visual Classification
Object Detection

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Data CollectionData Collection
Text SummarizationText Summarization
RLHFRLHF
Bounding BoxBounding Box

Freelancer Overview

AI Training Foundations: Reinforcement Learning from Human Feedback (RLHF) and Model Output Evaluation. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Calabar. AI-training focus includes data types such as Text and Image and labeling workflows including RLHF and Bounding Box.

IntermediateEnglish

Labeling Experience

Public Health Data Annotation and Quality Assurance

TextEntity Ner ClassificationRLHF
conducted high accuracy data annotation for a health-focused AI model. Responsibilities included identifying and labeling specific medical entities within clinical datasets to improve model precision . Ensured data integrity by following strict annotation guidelines and performing quality audits on labeled sets.

conducted high accuracy data annotation for a health-focused AI model. Responsibilities included identifying and labeling specific medical entities within clinical datasets to improve model precision . Ensured data integrity by following strict annotation guidelines and performing quality audits on labeled sets.

2025 - 2025

Image Annotation and Visual Classification

ImageBounding Box
Participated in image annotation projects focusing on object classification and precision bounding box placement. Used visual classification skills to accurately annotate large datasets for AI model development. Ensured high-precision output and compliance with strict data guidelines. • Applied bounding box and object detection techniques • Managed high-volume image annotation tasks • Implemented strict guidelines for quality and consistency • Supported AI model training through high-quality image labels

Participated in image annotation projects focusing on object classification and precision bounding box placement. Used visual classification skills to accurately annotate large datasets for AI model development. Ensured high-precision output and compliance with strict data guidelines. • Applied bounding box and object detection techniques • Managed high-volume image annotation tasks • Implemented strict guidelines for quality and consistency • Supported AI model training through high-quality image labels

Not specified

Education

U

University of Calabar

Bachelor of Science, Public Health

Bachelor of Science
2020 - 2024

Work History

I

Initiative For People's Good Health

Public Health Intern

Abuja
2025 - 2025
E

Ediba Primary Health Centre

Public Health Intern

Ediba
2024 - 2025