Luis.barreto

Key Skills

Software

Other

Top Subject Matter

Conversational AI evaluation and UX testing for an AI language-practice assistant

Top Data Types

Text

Top Task Types

Evaluation/Rating

Question Answering

Text Generation

RLHF

Prompt + Response Writing (SFT)

Transcription

Freelancer Overview

AI Conversational Assistant & UX Tester - Mia. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Certificate, Harvard University (edX) and Certificate, University of Helsinki. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Conversational Assistant & UX Tester - Mia

Designed adaptive conversational flows for a human-friendly English practice assistant and supported overall interaction quality. Conducted human-centered QA and UX testing to identify friction points and guide usability improvements based on real-user behavior. Applied conversational UX principles and prompt engineering techniques to evaluate interaction quality and refine user experiences. • Designed and iterated conversational flows • Performed usability evaluation and human-centered QA • Assessed interaction quality and user friction points • Used prompt engineering to improve conversational UX

2024 - Present

Mia – AI Conversational Assistant | Designed and evaluated adaptive conversational flows for natural English practice (2024–Present)

OtherText

Evaluated conversational AI interaction quality and user friction points to improve the end-user experience. Performed iterative UX testing for adaptive conversational flows, applying human-centered QA to identify where users struggled. Used LLM prompt engineering principles to guide conversational UX refinements based on observed behavior. • Assessed conversational flow quality and naturalness • Logged/triaged issues impacting user experience • Validated prompt and interaction behavior using real-user feedback • Focused on reducing user friction and improving overall conversation UX

2024 - Present

Education

Work History