Lucky Egwu

Key Skills

Software

Scale AI

Toloka

Top Subject Matter

Large Language Model Evaluation and RLHF Training

Text and Image Annotation

Search Evaluation

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Entity (NER) Classification

Freelancer Overview

AI Trainer & RLHF Specialist. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI and Toloka. Education includes Bachelor of Science, University (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF and Entity (NER) Classification.

Labeling Experience

AI Trainer & RLHF Specialist

Scale AITextRLHF

As an AI Trainer & RLHF Specialist at Outlier, I produced preference ranking data for LLM fine-tuning and assessed LLM outputs for helpfulness, safety, and factual accuracy. I crafted adversarial and red-team prompts to uncover model vulnerabilities and generated SFT demonstration data for code, reasoning, and instruction tasks. I maintained exceptional quality scores across all annotation projects. • Produced high-quality preference and ranking data for language model fine-tuning. • Crafted adversarial/red-team prompts for safety evaluation and model robustness. • Generated SFT demonstration datasets, including code generation and reasoning tasks. • Consistently achieved over 95% quality scores, adhering to detailed annotation rubrics.

As an AI Trainer & RLHF Specialist at Outlier, I produced preference ranking data for LLM fine-tuning and assessed LLM outputs for helpfulness, safety, and factual accuracy. I crafted adversarial and red-team prompts to uncover model vulnerabilities and generated SFT demonstration data for code, reasoning, and instruction tasks. I maintained exceptional quality scores across all annotation projects. • Produced high-quality preference and ranking data for language model fine-tuning. • Crafted adversarial/red-team prompts for safety evaluation and model robustness. • Generated SFT demonstration datasets, including code generation and reasoning tasks. • Consistently achieved over 95% quality scores, adhering to detailed annotation rubrics.

2023 - Present

Data Annotator & Quality Reviewer

TolokaTextEntity Ner Classification

As a Data Annotator & Quality Reviewer for Toloka, I conducted over 1,000 annotation tasks, including text classification, image labeling, named entity recognition, and search relevance evaluation. I reviewed the work of peers to ensure annotation accuracy and flagged inconsistencies to boost inter-annotator agreement. I worked on projects requiring English-language skills and often annotated culturally nuanced datasets. • Completed large volumes of annotation tasks ranging from text classification to named entity recognition. • Served as a top-tier quality reviewer, improving overall annotation accuracy. • Worked on multilingual and culturally nuanced datasets. • Maintained high accuracy and efficiency, consistently ranked as a top performer.

As a Data Annotator & Quality Reviewer for Toloka, I conducted over 1,000 annotation tasks, including text classification, image labeling, named entity recognition, and search relevance evaluation. I reviewed the work of peers to ensure annotation accuracy and flagged inconsistencies to boost inter-annotator agreement. I worked on projects requiring English-language skills and often annotated culturally nuanced datasets. • Completed large volumes of annotation tasks ranging from text classification to named entity recognition. • Served as a top-tier quality reviewer, improving overall annotation accuracy. • Worked on multilingual and culturally nuanced datasets. • Maintained high accuracy and efficiency, consistently ranked as a top performer.

2022 - Present

Education

Work History