Emmanuel A.

Key Skills

Software

Remotasks

Labelbox

CVAT

Data Annotation Tech

Scale AI

Top Subject Matter

Autonomous Vehicles

Large Language Models

AI Training Data

Top Data Types

Text

Image

Audio

Document

Top Task Types

RLHF

Bounding Box

Classification

Question Answering

Freelancer Overview

AI analyst & data labelling. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Remotasks. Education includes Bachelor of Science, University of Benin (2022) and Senior Secondary Certificate of Education, Ekiti State Government College (2016). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

AI Analyst & Data Labelling (Image Annotation & QA)

LabelboxImageBounding Box

I managed and annotated large-scale datasets consisting of text, images, and audio to support machine learning models. My responsibilities included detailed data labeling for autonomous driving datasets using 2D bounding boxes and LIDAR sensor fusion, as well as fine-tuning large language models (LLMs) using RLHF. I consistently met high accuracy standards while adapting to changing technical guidelines and performing quality assurance on labeled data. • Utilized Labelbox and CVAT to ensure accuracy in annotation and logic validation. • Labeled data for safety-critical autonomous vehicle and natural language processing applications. • Ranked and refined LLM responses, ensuring naturalness and accuracy in text-based AI systems. • Collaborated with global teams to deliver datasets for Tier 1 clients and performed audit tasks for quality control.

2024 - 2026

AI Analyst & Data Labelling (RLHF)

RemotasksTextRLHF

I contributed to the tuning and evaluation of Large Language Models through Reinforcement Learning from Human Feedback (RLHF) by ranking and refining AI-generated text responses. My responsibilities included following complex procedural guidelines and maintaining high accuracy standards when providing feedback for LLM outputs. I worked collaboratively in remote teams using Remotasks and Scale AI platforms to build better, safer AI systems. • Conducted ranking of LLM responses to improve model naturalness. • Followed strict task guidelines and feedback rubrics for consistency. • Used RLHF methodology to identify model errors and edge cases. • Maintained over 95% accuracy while meeting strict volume requirements.

2024 - 2026

Education

Work History