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Udemeobong Essien

Udemeobong Essien

AI Annotation Specialist (Project Yellowstone)

Nigeria flagFederal Capital Territory, Nigeria
$6.00/hrEntry LevelMicro1

Key Skills

Software

Micro1

Top Subject Matter

Large Language Model/AI Text Generation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
VideoVideo
DocumentDocument

Top Task Types

Data CollectionData Collection
Text GenerationText Generation
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

AI Annotation Specialist (Project Yellowstone). Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Micro1. Education includes Bachelor of Science, University of Uyo (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglish

Labeling Experience

AI Annotation Specialist (Project Yellowstone)

Micro1Text
As an AI Annotation Specialist for Project Yellowstone at Micro1, I reviewed and annotated AI-generated text outputs for a large language model project. I followed complex, evolving guidelines to ensure high accuracy and consistency in annotations. I collaborated with other annotators and QA leads to increase inter-annotator agreement above 95%. • Maintained high daily annotation throughput and flagged ambiguous cases • Provided structured feedback to improve guideline clarity and downstream model quality • Used advanced pattern recognition skills for rapid data classification and edge case identification • Contributed to guideline improvements that reduced rework rates

As an AI Annotation Specialist for Project Yellowstone at Micro1, I reviewed and annotated AI-generated text outputs for a large language model project. I followed complex, evolving guidelines to ensure high accuracy and consistency in annotations. I collaborated with other annotators and QA leads to increase inter-annotator agreement above 95%. • Maintained high daily annotation throughput and flagged ambiguous cases • Provided structured feedback to improve guideline clarity and downstream model quality • Used advanced pattern recognition skills for rapid data classification and edge case identification • Contributed to guideline improvements that reduced rework rates

2026 - 2026

Education

U

University of Uyo

Bachelor of Science, Mechanical Engineering

Bachelor of Science
2015 - 2015

Work History

I

ImpactHER

Digital Marketing Specialist & Trainer

New York
2022 - Present
U

Upskill Universe

Digital Trainer and Mentor

London
2020 - 2025