Success Owhorode Ikuku

Key Skills

Software

Telus

Other

Top Subject Matter

Large Language Models/Conversational AI/STEM

Autonomous Vehicles/Computer Vision/NLP

Legal Services & Contract Review

Top Data Types

Text

3D Sensor

Image

Document

Top Task Types

RLHF

Segmentation

Freelancer Overview

Data Annotator (Contract). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Telus and Other. Education includes Bachelor of Science, University of Lagos (2024) and Certificate, Udacity School of Data Analytics (2022). AI-training focus includes data types such as Text and 3D Sensor and labeling workflows including RLHF and Segmentation.

Labeling Experience

Data Labeller (Contract)

Other3D SensorSegmentation

As a Data Labeller at Uber AI, I was responsible for annotating data for computer vision and perception models, including 3D LiDAR point cloud processing. My duties included semantic segmentation and categorization of multilingual datasets for intent tagging and sentiment analysis. I also evaluated the relevance of search results and ranking algorithms for user-facing dispatch systems. • Conducted precision labeling and segmentation for autonomous vehicle training datasets. • Supported robust NLP model development through intent and sentiment tagging. • Identified and documented systematic labeling discrepancies for guideline refinement. • Collaborated to boost overall model mean Average Precision (mAP).

As a Data Labeller at Uber AI, I was responsible for annotating data for computer vision and perception models, including 3D LiDAR point cloud processing. My duties included semantic segmentation and categorization of multilingual datasets for intent tagging and sentiment analysis. I also evaluated the relevance of search results and ranking algorithms for user-facing dispatch systems. • Conducted precision labeling and segmentation for autonomous vehicle training datasets. • Supported robust NLP model development through intent and sentiment tagging. • Identified and documented systematic labeling discrepancies for guideline refinement. • Collaborated to boost overall model mean Average Precision (mAP).

2026 - Present

Data Annotator (Contract)

TelusTextRLHF

As a Data Annotator at Telus Digital, I performed high-quality data annotation and Reinforcement Learning from Human Feedback (RLHF) for large language models. My work centered on evaluating reasoning, factual accuracy, and safety for AI conversational tasks. I also executed content labeling and conducted quality control on diverse datasets to identify and mitigate model hallucinations. • Developed golden standard responses to train and refine conversational AI behaviors. • Performed math and AI evaluation, emphasizing logical consistency in STEM domains. • Functioned as a PRP (Prompt-Response-Prompt) Writer Analyst to enhance AI conversation flow. • Provided domain-specific feedback to improve dataset quality and model performance.

As a Data Annotator at Telus Digital, I performed high-quality data annotation and Reinforcement Learning from Human Feedback (RLHF) for large language models. My work centered on evaluating reasoning, factual accuracy, and safety for AI conversational tasks. I also executed content labeling and conducted quality control on diverse datasets to identify and mitigate model hallucinations. • Developed golden standard responses to train and refine conversational AI behaviors. • Performed math and AI evaluation, emphasizing logical consistency in STEM domains. • Functioned as a PRP (Prompt-Response-Prompt) Writer Analyst to enhance AI conversation flow. • Provided domain-specific feedback to improve dataset quality and model performance.

2025 - Present

Education

Work History