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Kingsley Chinedu

Kingsley Chinedu

AI Data Trainer | Data labelling, RLHF & Response Evaluation Specilaist

Nigeria flagEnugu, Nigeria
$20.00/hrIntermediateLabel StudioScale AIRemotasks

Key Skills

Software

Label StudioLabel Studio
Scale AIScale AI
RemotasksRemotasks
MercorMercor

Top Subject Matter

AI/ML Training
Data Science
Analytics Domain Expertise & Natural Language Processing (NLP)

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

ClassificationClassification
Evaluation/RatingEvaluation/Rating
Text GenerationText Generation
Question AnsweringQuestion Answering

Freelancer Overview

I have worked on AI training data and data labelling tasks like text annotation, sentiment analysis, and content categorisation. Most of my experience involves carefully following guidelines, making sure labels are accurate, and reviewing data to fix inconsistencies so the final dataset is reliable and useful for training models. I am comfortable handling large volumes of data while staying consistent and detailed oriented. What really sets me apart is how quickly I adapt to new instructions and maintain quality even on repetitive tasks. I pay close attention to small details, communicate clearly when something is unclear, and use AI tools to work more efficiently without cutting corners. I take pride in producing clean, dependable data that actually helps improve model performance.

IntermediateEnglishGerman

Labeling Experience

Image Annotation & Quality Control Specialist

ImageObject Detection
Worked on image annotation and quality control tasks supporting AI model training, particularly in computer vision projects. My role involved reviewing annotated images to ensure labels were accurate and consistent with project guidelines. I regularly checked bounding boxes for proper alignment, identified missing or incorrectly labeled objects, and made corrections where necessary to maintain high quality datasets. I also focused on maintaining consistency across large volumes of data by carefully following instructions and applying the same standards throughout. When recurring issues appeared, I paid attention to patterns and ensured they were corrected consistently. This experience helped me develop strong attention to detail, patience, and the ability to make clear, objective decisions while working on repetitive tasks. I’m comfortable adapting to different annotation tools and workflows, and I take pride in producing clean, reliable data that supports effective AI model performance.

Worked on image annotation and quality control tasks supporting AI model training, particularly in computer vision projects. My role involved reviewing annotated images to ensure labels were accurate and consistent with project guidelines. I regularly checked bounding boxes for proper alignment, identified missing or incorrectly labeled objects, and made corrections where necessary to maintain high quality datasets. I also focused on maintaining consistency across large volumes of data by carefully following instructions and applying the same standards throughout. When recurring issues appeared, I paid attention to patterns and ensured they were corrected consistently. This experience helped me develop strong attention to detail, patience, and the ability to make clear, objective decisions while working on repetitive tasks. I’m comfortable adapting to different annotation tools and workflows, and I take pride in producing clean, reliable data that supports effective AI model performance.

2025 - 2026

Image Annotation & Quality Control Specialist

ImageBounding Box
Worked on image annotation and quality control tasks supporting AI model training, particularly in computer vision projects. My role involved reviewing annotated images to ensure labels were accurate and consistent with project guidelines. I regularly checked bounding boxes for proper alignment, identified missing or incorrectly labeled objects, and made corrections where necessary to maintain high quality datasets. I also focused on maintaining consistency across large volumes of data by carefully following instructions and applying the same standards throughout. When recurring issues appeared, I paid attention to patterns and ensured they were corrected consistently. This experience helped me develop strong attention to detail, patience, and the ability to make clear, objective decisions while working on repetitive tasks. I’m comfortable adapting to different annotation tools and workflows, and I take pride in producing clean, reliable data that supports effective AI model performance.

Worked on image annotation and quality control tasks supporting AI model training, particularly in computer vision projects. My role involved reviewing annotated images to ensure labels were accurate and consistent with project guidelines. I regularly checked bounding boxes for proper alignment, identified missing or incorrectly labeled objects, and made corrections where necessary to maintain high quality datasets. I also focused on maintaining consistency across large volumes of data by carefully following instructions and applying the same standards throughout. When recurring issues appeared, I paid attention to patterns and ensured they were corrected consistently. This experience helped me develop strong attention to detail, patience, and the ability to make clear, objective decisions while working on repetitive tasks. I’m comfortable adapting to different annotation tools and workflows, and I take pride in producing clean, reliable data that supports effective AI model performance.

2025 - 2026

Ai Training Data Labelling & Response Evaluation Specialist

TextRLHF
Worked on Ai training and data labelling projects focused on improving the quality of language models. My tasks included annotating text data, evaluating and ranking Ai generated responses and identifying issues such as factual inaccuracies, poor reasoning, and unclear explanations. I followed detailed guidelines to ensure consistency and accuracy across large datasets. I also contributed to rewriting and improving AI responses to make them more clear, helpful, and aligned with user intent. In addition, I performed basic fact checking and ensured outputs met quality standards for tone, structure, and correctness. This work required strong attention to detail, critical thinking and the ability to maintain high quality results while working efficiently on repetitive tasks.

Worked on Ai training and data labelling projects focused on improving the quality of language models. My tasks included annotating text data, evaluating and ranking Ai generated responses and identifying issues such as factual inaccuracies, poor reasoning, and unclear explanations. I followed detailed guidelines to ensure consistency and accuracy across large datasets. I also contributed to rewriting and improving AI responses to make them more clear, helpful, and aligned with user intent. In addition, I performed basic fact checking and ensured outputs met quality standards for tone, structure, and correctness. This work required strong attention to detail, critical thinking and the ability to maintain high quality results while working efficiently on repetitive tasks.

2024 - 2026

Freelance Data Scientist/Analyst – Data Labeling Project

TextEvaluation Rating
This freelance Data Scientist/Analyst role included cleaning, transforming, and structuring real-world datasets for AI/ML applications. Labeled and classified both structured and unstructured text data to train and validate models. Built reports and dashboards leveraging data-driven insights for ongoing projects. • Worked with raw text for feature engineering and annotation. • Responsible for classifying and labeling input data for model training. • Leveraged SQL, Excel, and internal/proprietary tools for data transformation. • Collaborated with stakeholders to define label criteria.

This freelance Data Scientist/Analyst role included cleaning, transforming, and structuring real-world datasets for AI/ML applications. Labeled and classified both structured and unstructured text data to train and validate models. Built reports and dashboards leveraging data-driven insights for ongoing projects. • Worked with raw text for feature engineering and annotation. • Responsible for classifying and labeling input data for model training. • Leveraged SQL, Excel, and internal/proprietary tools for data transformation. • Collaborated with stakeholders to define label criteria.

2024 - 2026

Education

A

Alex Ekwueme Federal University Ndufu Alike Ikwo

Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery

Bachelor of Medicine, Bachelor of Surgery
2017 - 2025

Work History

N

National Public Health Network

State Health Ambassador

Enugu
2026 - Present
M

MedixDeck

Co-Founder & Chief Medical Officer

Enugu
2026 - Present