Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Text

Top Task Types

Computer Programming Coding

Evaluation Rating

Prompt Response Writing SFT

Text Summarization

Translation Localization

Freelancer Overview

As an AI Conversation Evaluator, I specialize in assessing the quality of voice-based AI interactions, with a focus on conversational flow, speech recognition, voice quality, and user experience. I have hands-on experience evaluating both proprietary AI models and their competitors, providing actionable feedback to improve engagement, formality, gender agreement, and overall interaction quality. My work involves detailed analysis of AI performance across multiple dimensions, ensuring that voice-based systems are responsive, relevant, and adaptable to user needs. I have a strong understanding of AI evaluation frameworks, particularly in conversational AI, where I assess not just the technical accuracy of responses but also how effectively these systems communicate in a human-like manner. My background in evaluating chatbot interactions allows me to identify areas for improvement in conversational AI, helping organizations enhance user experiences in a range of industries.

Labeling Experience

AI Conversational Data Labeling Specialist

Scale AITextFine TuningEvaluation Rating

I have worked on several data labeling and AI training tasks, focusing on improving the performance of AI chatbots in various domains. In projects like Geese Screening and Speaker Prompt Rewrite and Recording, I worked on refining the AI's understanding of text and audio prompts, providing data for training voice-based interactions and improving speech recognition. Additionally, my contributions to Duck Human Evals and Multilingual Centralized Screening helped fine-tune conversational flows in multiple languages and contexts. The tasks involved classifying data, generating training responses, and enhancing AI models to improve conversational quality, engagement, and speech recognition. I followed strict quality measures, ensuring that the data was accurate and aligned with the AI’s learning objectives.

I have worked on several data labeling and AI training tasks, focusing on improving the performance of AI chatbots in various domains. In projects like Geese Screening and Speaker Prompt Rewrite and Recording, I worked on refining the AI's understanding of text and audio prompts, providing data for training voice-based interactions and improving speech recognition. Additionally, my contributions to Duck Human Evals and Multilingual Centralized Screening helped fine-tune conversational flows in multiple languages and contexts. The tasks involved classifying data, generating training responses, and enhancing AI models to improve conversational quality, engagement, and speech recognition. I followed strict quality measures, ensuring that the data was accurate and aligned with the AI’s learning objectives.

2024

Education

Work History