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Emmanuel Ozor

Emmanuel Ozor

Remote AI Data Annotation & Evaluation Specialist (Freelance / Project-Based)

NIGERIA flag
Lagos, Nigeria
$15.00/hrEntry LevelOtherAws SagemakerCrowdsource

Key Skills

Software

Other
AWS SageMakerAWS SageMaker
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech

Top Subject Matter

AI/LLM Evaluation and Training
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Label Types

Bounding Box
Classification
Cuboid

Freelancer Overview

Remote AI Data Annotation & Evaluation Specialist (Freelance / Project-Based). Core strengths include Other. Education includes Bachelor of Engineering, Nnamdi Azikiwe University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglish

Labeling Experience

Remote AI Data Annotation & Evaluation Specialist (Freelance / Project-Based)

OtherText
As a remote AI Data Annotation & Evaluation Specialist, I annotated and reviewed text data to train and evaluate artificial intelligence models. My tasks involved intent recognition, consistency checking, and classification of prompts and user scenarios according to detailed guidelines. I evaluated large language model (LLM) outputs for accuracy, tone, relevance, and policy compliance while maintaining high productivity and attention to detail. • Conducted intent-checking, classification, and flagging of ambiguous or unsafe responses. • Suggested improvements on low-quality outputs and ensured factual correctness. • Followed complex annotation and evaluation instructions to meet quality benchmarks. • Specialized in text-based data labeling and LLM evaluation projects.

As a remote AI Data Annotation & Evaluation Specialist, I annotated and reviewed text data to train and evaluate artificial intelligence models. My tasks involved intent recognition, consistency checking, and classification of prompts and user scenarios according to detailed guidelines. I evaluated large language model (LLM) outputs for accuracy, tone, relevance, and policy compliance while maintaining high productivity and attention to detail. • Conducted intent-checking, classification, and flagging of ambiguous or unsafe responses. • Suggested improvements on low-quality outputs and ensured factual correctness. • Followed complex annotation and evaluation instructions to meet quality benchmarks. • Specialized in text-based data labeling and LLM evaluation projects.

2024 - Present

Education

N

Nnamdi Azikiwe University

Bachelor of Engineering, Civil Engineering

Bachelor of Engineering
2024

Work History

G

God's own fashion centre

Fashion designer

Lagos
2021 - 2024