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Ramcy Hope

AI Trainer – Coding

Kenya flagNairobi, Kenya
IntermediateCVATLabelboxScale AI

Key Skills

Software

CVATCVAT
LabelboxLabelbox
Scale AIScale AI
ProdigyProdigy
Snorkel AISnorkel AI

Top Subject Matter

Coding/programming Domain Expertise
Law/legal Domain Expertise
General/Computer Vision

Top Data Types

DocumentDocument
ImageImage
TextText

Top Task Types

Bounding Box
RLHF
Segmentation
Data Collection
Polygon

Freelancer Overview

I am a detail-oriented professional with extensive experience in data labeling and AI training. My background includes precise image annotation for object detection, complex entity NER classification for legal documents, and refining code-generation models. I pride myself on maintaining high accuracy and consistency, ensuring that training datasets are high-quality and free of bias. I am comfortable working with various annotation tools and quickly adapting to new project guidelines to support robust machine learning development.

IntermediateEnglish

Labeling Experience

Image Annotation Specialist

ImageClassification
I performed high-accuracy image classification for a large-scale computer vision project. My responsibilities included categorizing thousands of images based on complex taxonomies, ensuring 98%+ precision in data labeling. I handled diverse datasets, ranging from everyday objects to specialized industry imagery, following strict quality guidelines to provide reliable ground-truth data for machine learning model training. I am proficient in using web-based annotation tools and maintaining high throughput without compromising on quality.

I performed high-accuracy image classification for a large-scale computer vision project. My responsibilities included categorizing thousands of images based on complex taxonomies, ensuring 98%+ precision in data labeling. I handled diverse datasets, ranging from everyday objects to specialized industry imagery, following strict quality guidelines to provide reliable ground-truth data for machine learning model training. I am proficient in using web-based annotation tools and maintaining high throughput without compromising on quality.

2025 - 2025

Data Labeler – Law

DocumentEntity Ner Classification
Conducted Named Entity Recognition (NER) on thousands of legal contracts and court transcripts. I manually identified and labeled key entities such as dates, case citations, party names, and legal clauses. This work helped train a legal-specific NLP model to automate document summaries while maintaining strict confidentiality and data privacy standards.

Conducted Named Entity Recognition (NER) on thousands of legal contracts and court transcripts. I manually identified and labeled key entities such as dates, case citations, party names, and legal clauses. This work helped train a legal-specific NLP model to automate document summaries while maintaining strict confidentiality and data privacy standards.

2025 - 2025

AI Trainer – Coding

TextRLHF
I served as a technical AI Trainer specializing in the optimization of large language models for software development. My role involved generating high-quality 'golden responses' for complex coding prompts across languages like Python, JavaScript, and C++. I performed rigorous debugging and code reviews on AI-generated snippets to ensure they followed best practices, were secure from vulnerabilities, and remained computationally efficient. Additionally, I used RLHF methodologies to rank model outputs, helping to reduce hallucinations and improve the overall logical flow of the model’s reasoning in multi-step programming tasks.

I served as a technical AI Trainer specializing in the optimization of large language models for software development. My role involved generating high-quality 'golden responses' for complex coding prompts across languages like Python, JavaScript, and C++. I performed rigorous debugging and code reviews on AI-generated snippets to ensure they followed best practices, were secure from vulnerabilities, and remained computationally efficient. Additionally, I used RLHF methodologies to rank model outputs, helping to reduce hallucinations and improve the overall logical flow of the model’s reasoning in multi-step programming tasks.

2025 - 2025

Education

Z

Zetech Univercity

Degree in computer science, computer science

Degree in computer science
2021 - 2024

Work History

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