Emmanuel R.

Key Skills

Software

Don't disclose

Labelbox

Top Subject Matter

AI model training and RLHF dataset quality

Multimodal RLHF training datasets

Computer vision and NLP dataset curation and QA

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Data Collection

Fine-tuning

Freelancer Overview

AI Trainer / Data Labeller (Lighthouse Project). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Labelbox. Education includes Bachelor of Engineering, Joseph Sarwuan Tarka University (2025) and Secondary School Certificate, School for the Gifted (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Trainer / Data Labeller (Lighthouse Project)

LabelboxImageFine-tuning

Annotated and labeled datasets containing text prompts, images, and conversation flows following project-specific guidelines. Performed quality checks to ensure label consistency and compliance with annotation rules. Maintained high labeling accuracy to minimize revisions and support reliable training data creation. • Labeled multimodal content (text, images, conversation flows) • Followed strict annotation guidelines and taxonomies • Conducted quality assurance to catch inconsistencies • Maintained >95% personal labeling accuracy

2024 - 2025

AI Trainer / Data Labeller (Lighthouse Project)

Don't discloseText

Evaluated AI-generated responses for accuracy, coherence, helpfulness, and safety to guide improvements in model behavior. Provided structured feedback based on rating criteria to support downstream quality processes. This work involved reviewing outputs against project expectations and flagging issues for refinement. • Assessed response quality dimensions (accuracy, coherence, helpfulness, safety) • Produced structured feedback for iterative improvements • Supported maintaining consistent evaluation standards • Helped improve model outputs through human feedback loops

2024 - 2025

Data Contributor / AI Content Trainer (Atlas Capture)

Don't discloseImageData Collection

Generated, reviewed, and quality-checked structured datasets used to train and validate computer-vision and NLP models. Captured and categorized real-world samples, ensuring diversity and label consistency across the dataset. Followed capture protocols and metadata standards to meet client specifications. • Captured and categorized images with descriptive text • Ensured representation diversity and consistent labeling • Followed capture protocols and metadata standards • Provided QA feedback on peer submissions to uphold data quality

2023 - 2024

Education

Work History