Promise Ukuere

Key Skills

Software

Appen

Top Subject Matter

Natural Language Processing and LLMs

Large Language Models and Prompt Engineering

General AI and Machine Learning

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Freelancer Overview

AI Data Annotator / LLM Trainer. Core strengths include Appen, Outlier AI, and MultiMango. Education includes Bachelor of Science, National Open University of Nigeria and Diploma, Foundation Polytechnic. AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Data Annotation Specialist

TextClassification

As a Data Annotation Specialist, I executed large-scale data labeling and categorization projects for machine learning initiatives. My responsibilities included ensuring dataset integrity, leading quality assurance, and identifying errors for correction. The role demanded high precision, attention to detail, and strict adherence to validation protocols. • Labeled and categorized diverse datasets for AI projects • Conducted detailed quality checks and validated data accuracy • Detected and corrected annotation errors and inconsistencies • Delivered accurate tasks under deadline constraints

As a Data Annotation Specialist, I executed large-scale data labeling and categorization projects for machine learning initiatives. My responsibilities included ensuring dataset integrity, leading quality assurance, and identifying errors for correction. The role demanded high precision, attention to detail, and strict adherence to validation protocols. • Labeled and categorized diverse datasets for AI projects • Conducted detailed quality checks and validated data accuracy • Detected and corrected annotation errors and inconsistencies • Delivered accurate tasks under deadline constraints

2023 - Present

AI Trainer & Prompt Evaluator

Text

In my role as an AI Trainer & Prompt Evaluator, I managed the review, rating, and correction of AI-generated model outputs. I provided structured, comparative feedback to enhance LLM response quality and accuracy. The position focused on evaluating completion quality, instruction following, and content benchmarks in remote environments. • Performed A/B evaluations and comparative response analyses • Delivered structured feedback and quality scoring for LLM tasks • Ensured consistent performance metrics and timely task completion • Adapted rapidly to new evaluation guidelines and platforms

In my role as an AI Trainer & Prompt Evaluator, I managed the review, rating, and correction of AI-generated model outputs. I provided structured, comparative feedback to enhance LLM response quality and accuracy. The position focused on evaluating completion quality, instruction following, and content benchmarks in remote environments. • Performed A/B evaluations and comparative response analyses • Delivered structured feedback and quality scoring for LLM tasks • Ensured consistent performance metrics and timely task completion • Adapted rapidly to new evaluation guidelines and platforms

2022 - 2023

AI Data Annotator / LLM Trainer

AppenTextRLHF

As an AI Data Annotator and LLM Trainer, I was responsible for training and evaluating large language models using high-quality data annotation techniques. I ensured guideline compliance, maintained annotation consistency, and delivered accurate datasets for model improvement. My tasks included prompt evaluation, response ranking, and data validation to support LLM development. • Annotated and labeled NLP datasets for AI model training • Evaluated AI-generated responses and ranked for accuracy and coherence • Consistently maintained high accuracy rates and guideline adherence • Contributed to scalable and robust LLM datasets through RLHF practices

As an AI Data Annotator and LLM Trainer, I was responsible for training and evaluating large language models using high-quality data annotation techniques. I ensured guideline compliance, maintained annotation consistency, and delivered accurate datasets for model improvement. My tasks included prompt evaluation, response ranking, and data validation to support LLM development. • Annotated and labeled NLP datasets for AI model training • Evaluated AI-generated responses and ranked for accuracy and coherence • Consistently maintained high accuracy rates and guideline adherence • Contributed to scalable and robust LLM datasets through RLHF practices

2021 - 2022

Education

Work History