Lawrence I.

Key Skills

Software

Appen

Clickworker

AWS SageMaker

Top Subject Matter

Autonomous driving

motion-ambiguity sequences

computer vision

Top Data Types

Video

Image

Audio

Text

Document

Top Task Types

Segmentation

Object Detection

Transcription

RLHF

Freelancer Overview

AI Video Annotation Auditor. Core strengths include AtlasCapture.io and Luel.ai. Education includes Bachelor of Engineering, Abia State University (2024). AI-training focus includes data types such as Video, Image, and Audio and labeling workflows including Segmentation, Object Detection, and Transcription.

Labeling Experience

AI Video Annotation Auditor

VideoSegmentation

As an AI Video Annotation Auditor at AtlasCapture.io, I completed over 300 hours annotating high-complexity video datasets. I enforced guideline compliance and attained Auditor Certification, qualifying me to review, validate, and approve team outputs. My focus was on quality assurance, edge-case handling, and maintaining project-specific integrity. • Led annotation for autonomous driving and motion-ambiguity video tasks • Certified Auditor responsible for team-level output validation • Resolved annotation inconsistencies and enforced guidelines • Structured quality workflows for enterprise AI training

2024 - Present

RLHF Data Specialist (Text Evaluation)

TextRLHF

As an RLHF Data Specialist at Luel.ai, I handled preference ranking, prompt output scoring, and search quality evaluation for conversational AI datasets. I achieved a 97% accuracy rate across 500+ RLHF-labeled samples, consistently meeting top-tier standards. This role required judgment-based handling of ambiguous language data and precise evaluation for alignment tasks. • Performed RLHF preference ranking and output scoring • Evaluated prompt responses for language model alignment • Achieved high accuracy in RLHF labeling tasks • Supported search quality evaluation pipelines

2023 - Present

Multilingual AI Training Specialist (Audio Transcription)

AudioTranscription

In my role as Multilingual AI Training Specialist at Luel.ai, I transcribed over 800 hours of audio in English, Igbo, and Nigerian Pidgin with structured intent labeling. These tasks supported the training of speech AI datasets with a focus on multilingual accuracy and intent identification. I addressed ambiguous cases through guideline-based interpretation for optimal results. • Conducted multilingual transcription projects and quality reviews • Applied structured intent labeling for speech AI training • Supported edge-case resolution and accuracy improvements • Enhanced language models through detailed annotation work

2023 - Present

RLHF Data Specialist (Image Annotation)

ImageObject Detection

As an RLHF Data Specialist at Luel.ai, I delivered high-volume, spatially precise image annotation projects. I executed over 7,000 annotations involving object detection, segmentation, and classification across diverse datasets. My work emphasized accuracy, edge-case handling, and strict adherence to annotation standards. • Managed large image batches for computer vision pipelines • Specialized in guideline interpretation and quality audits • Detected and escalated edge cases to improve label consistency • Supported enterprise-level annotation and QA tasks

2023 - Present

Education

Work History