Romie Steiner

Key Skills

Software

Label Studio

Top Subject Matter

Natural Language Processing (NLP) Systems

Large Language Models

Conversational AI

Top Data Types

Text

Image

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

Senior AI QA & iOS Engineer. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Label Studio. Education includes Doctor of Philosophy, University of Texas at Austin (2020) and Master of Science, University of Houston (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Senior AI QA & iOS Engineer

Text

Designed and executed AI training evaluation workflows for advanced NLP-based systems. Performed human-in-the-loop validation including tasks such as ranking, classification, and correction of AI outputs. Built and managed tools for efficient dataset validation and quality improvement. • Led the development of internal tooling that increased labeling efficiency by 35%. • Oversaw and improved quality assurance for AI-integrated mobile functionalities. • Implemented automated test pipelines covering over 90% of AI training scenarios. • Conducted detailed quality audits and reviewer calibration to maintain high standards.

Designed and executed AI training evaluation workflows for advanced NLP-based systems. Performed human-in-the-loop validation including tasks such as ranking, classification, and correction of AI outputs. Built and managed tools for efficient dataset validation and quality improvement. • Led the development of internal tooling that increased labeling efficiency by 35%. • Oversaw and improved quality assurance for AI-integrated mobile functionalities. • Implemented automated test pipelines covering over 90% of AI training scenarios. • Conducted detailed quality audits and reviewer calibration to maintain high standards.

2021 - Present

AI Data Trainer & Prompt Engineer (Remote)

Label StudioTextPrompt Response Writing SFT

Created and optimized prompts for training large language models in multiple domains. Conducted structured evaluation and ranking of AI-generated responses following strict set guidelines. Annotated and curated datasets to identify hallucinations, bias, and inconsistencies in model outputs. • Collaborated with distributed teams to improve LLM alignment and safety. • Led data annotation across education, conversational AI, and technical domains. • Identified and documented model weaknesses impacting alignment and accuracy. • Supported bias detection and guideline development for annotation teams.

Created and optimized prompts for training large language models in multiple domains. Conducted structured evaluation and ranking of AI-generated responses following strict set guidelines. Annotated and curated datasets to identify hallucinations, bias, and inconsistencies in model outputs. • Collaborated with distributed teams to improve LLM alignment and safety. • Led data annotation across education, conversational AI, and technical domains. • Identified and documented model weaknesses impacting alignment and accuracy. • Supported bias detection and guideline development for annotation teams.

2020 - Present

Education

Work History