Stephen Praise Emenike

Key Skills

Software

Labelbox

Appen

Lionbridge

Mercor

Micro1

OneForma

Mindrift

Scale AI

Surge AI

Toloka

Top Subject Matter

Technical Domain Expertise

Academic Domain Expertise

General Knowledge

Top Data Types

Text

Video

Audio

Top Task Types

Text Generation

Classification

Question Answering

Object Detection

Text Summarization

Freelancer Overview

AI Trainer & Content Contributor. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox and Appen. Education includes Master of Science, University of Washington (2019) and Bachelor of Arts with Honors, University of Washington (2017). AI-training focus includes data types such as Text and labeling workflows including Text Generation, Evaluation, and Rating.

Labeling Experience

AI Trainer & Content Contributor

LabelboxTextText Generation

As an AI Trainer & Content Contributor at TELUS Digital (AI Data Division), I generated and evaluated large language model responses across various technical, academic, and general knowledge domains. My contributions focused on creating original, structured, and fact-checked data for AI model training and improvement. I drove the development of content frameworks and ensured the accuracy of training datasets. • Crafted, reviewed, and improved responses used for LLM training and evaluation. • Achieved a high (97%) quality approval rate for over 600 content submissions. • Collaborated closely with QA to enhance data consistency and meet evolving project requirements. • Utilized Labelbox, Scale AI, and Telus toolsets during remote project work.

As an AI Trainer & Content Contributor at TELUS Digital (AI Data Division), I generated and evaluated large language model responses across various technical, academic, and general knowledge domains. My contributions focused on creating original, structured, and fact-checked data for AI model training and improvement. I drove the development of content frameworks and ensured the accuracy of training datasets. • Crafted, reviewed, and improved responses used for LLM training and evaluation. • Achieved a high (97%) quality approval rate for over 600 content submissions. • Collaborated closely with QA to enhance data consistency and meet evolving project requirements. • Utilized Labelbox, Scale AI, and Telus toolsets during remote project work.

2022 - 2026

Senior Content Evaluator & Data Labelling

AppenText

As a Senior Content Evaluator & Data Labelling Specialist at Appen, I annotated and evaluated AI-generated written content for coherence, factual accuracy, and alignment with language standards. My work included enforcing style guide consistency and managing content across multiple domains. I also played a key role in onboarding new contributors and streamlining team review processes. • Labeled and reviewed both long-form and short-form written outputs for AI. • Designed and delivered contributor training for project guideline adherence. • Managed schedule logistics and optimized content revision workflow. • Used Appen's proprietary data labeling software to perform all annotation tasks.

As a Senior Content Evaluator & Data Labelling Specialist at Appen, I annotated and evaluated AI-generated written content for coherence, factual accuracy, and alignment with language standards. My work included enforcing style guide consistency and managing content across multiple domains. I also played a key role in onboarding new contributors and streamlining team review processes. • Labeled and reviewed both long-form and short-form written outputs for AI. • Designed and delivered contributor training for project guideline adherence. • Managed schedule logistics and optimized content revision workflow. • Used Appen's proprietary data labeling software to perform all annotation tasks.

2020 - 2022

Education

Work History