Stephen Smith

Key Skills

Software

Internal/Proprietary Tooling

Doccano

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Text

Image

Top Label Types

Classification

Tracking

Evaluation Rating

Computer Programming Coding

Entity Ner Classification

Text Summarization

Data Collection

Bounding Box

Object Detection

Freelancer Overview

I am an experienced technical data specialist and AI trainer with a strong background in code generation review, LLM evaluation, RLHF preference ranking, hallucination audits, and supervised fine-tuning data preparation. My expertise includes structured technical data annotation, function calling annotation, reasoning step verification, and red teaming support, ensuring high-quality and reliable AI training data. With over three years of hands-on experience building and optimizing web applications for diverse U.S. clients, I have developed a keen eye for data integrity, validation, and performance optimization—skills that directly translate to meticulous data labeling and annotation work for AI projects. I am adept at collaborating in Agile environments, delivering high-accuracy outputs, and leveraging tools such as Python, Node.js, and modern databases to support scalable and secure data workflows. My experience spans domains like e-commerce, SaaS, and enterprise solutions, and I am committed to maintaining the highest standards in AI training data quality.

Labeling Experience

Voice & Audio Clarity Contribution (Transferable from Technical Communication)

Internal Proprietary ToolingAudioClassificationAudio Recording

In client-facing full-stack development projects (Agile sprints with U.S. stakeholders), I delivered clear, professional verbal communication during demos, requirements sessions, and feedback loops — ensuring precise pronunciation, tone, and articulation for effective collaboration. This honed skills in high-clarity speech delivery and following guidelines, directly transferable to script-based audio recording for AI speech training (pronunciation, tone, clarity standards). No prior professional voice acting, but strong focus on clear, accurate verbal output in technical contexts.

In client-facing full-stack development projects (Agile sprints with U.S. stakeholders), I delivered clear, professional verbal communication during demos, requirements sessions, and feedback loops — ensuring precise pronunciation, tone, and articulation for effective collaboration. This honed skills in high-clarity speech delivery and following guidelines, directly transferable to script-based audio recording for AI speech training (pronunciation, tone, clarity standards). No prior professional voice acting, but strong focus on clear, accurate verbal output in technical contexts.

2024

Media Asset Validation & Annotation for Responsive Web Applications

CVATImageBounding BoxClassification

In early-stage SaaS prototype development at Nexlify Solutions (and overlapping freelance), I evaluated and ranked technical outputs/code iterations for correctness, performance, security, and usability. This included comparative assessments of backend/frontend responses, identifying hallucinations/inconsistencies, verifying multi-step reasoning in logic flows, and providing preference-style feedback in Agile iterations — transferable to RLHF preference ranking, hallucination audits, reasoning step verification, red teaming support, and supervised fine-tuning (SFT) prompt/response evaluation. Collaborated in small teams to refine high-quality data/code under rubric-like guidelines, ensuring reliable, production-ready results.

In early-stage SaaS prototype development at Nexlify Solutions (and overlapping freelance), I evaluated and ranked technical outputs/code iterations for correctness, performance, security, and usability. This included comparative assessments of backend/frontend responses, identifying hallucinations/inconsistencies, verifying multi-step reasoning in logic flows, and providing preference-style feedback in Agile iterations — transferable to RLHF preference ranking, hallucination audits, reasoning step verification, red teaming support, and supervised fine-tuning (SFT) prompt/response evaluation. Collaborated in small teams to refine high-quality data/code under rubric-like guidelines, ensuring reliable, production-ready results.

2024 - 2025

Structured Data Validation & Integrity Annotation Project

DoccanoTextEntity Ner ClassificationClassification

During freelance and startup full-stack work (Arc.Dev projects and Nexlify Solutions), I managed structured text and database data validation across RESTful APIs, user inputs, and backend logic. Tasks involved categorizing/classifying data entities, checking for consistency/accuracy, labeling errors in outputs, and ensuring integrity in MongoDB/PostgreSQL/MySQL schemas — akin to text annotation, entity recognition (NER), classification, and data collection for AI training. Enforced strict validation pipelines and security checks in real client deliverables, maintaining high data quality under tight deadlines. This precision directly applies to supervised fine-tuning data prep, prompt/response validation, and technical annotation workflows.

During freelance and startup full-stack work (Arc.Dev projects and Nexlify Solutions), I managed structured text and database data validation across RESTful APIs, user inputs, and backend logic. Tasks involved categorizing/classifying data entities, checking for consistency/accuracy, labeling errors in outputs, and ensuring integrity in MongoDB/PostgreSQL/MySQL schemas — akin to text annotation, entity recognition (NER), classification, and data collection for AI training. Enforced strict validation pipelines and security checks in real client deliverables, maintaining high data quality under tight deadlines. This precision directly applies to supervised fine-tuning data prep, prompt/response validation, and technical annotation workflows.

2023 - 2024

AI Code Generation Review & Quality Assurance Project

Internal Proprietary ToolingComputer Code ProgrammingClassificationTracking

In multiple freelance full-stack development projects for U.S. clients (via Upwork, Toptal, Arc.Dev), I conducted detailed code and output reviews on Python, JavaScript/TypeScript, and Node.js codebases. This included verifying correctness, identifying bugs/errors, edge-case validation, security vulnerabilities, and labeling inconsistencies in API responses and database outputs — directly transferable to AI-generated code review, error labeling, function calling validation, and quality rating tasks. Reduced application issues and improved data accuracy through systematic refactoring and testing, similar to evaluation/rating rubrics in LLM training. Handled 15+ client projects with strict attention to detail and guideline adherence.

In multiple freelance full-stack development projects for U.S. clients (via Upwork, Toptal, Arc.Dev), I conducted detailed code and output reviews on Python, JavaScript/TypeScript, and Node.js codebases. This included verifying correctness, identifying bugs/errors, edge-case validation, security vulnerabilities, and labeling inconsistencies in API responses and database outputs — directly transferable to AI-generated code review, error labeling, function calling validation, and quality rating tasks. Reduced application issues and improved data accuracy through systematic refactoring and testing, similar to evaluation/rating rubrics in LLM training. Handled 15+ client projects with strict attention to detail and guideline adherence.

2021 - 2023

Education

Work History