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Russell Smith

Russell Smith

LLM Evaluation and Text Generation Specialist in English & Spanish

USA flagBoise, Idaho, Usa
$20.00/hrExpertAppenClickworkerOneforma

Key Skills

Software

AppenAppen
ClickworkerClickworker
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

Bounding Box
Data Collection
Evaluation Rating
Text Generation
Text Summarization

Freelancer Overview

I am an experienced AI Data Specialist with a strong background in data labeling, model evaluation, and AI training data development. Over the past several years, I have contributed to large-scale projects that improved the accuracy and reliability of advanced AI systems. My experience at Outlier involved evaluating chatbot responses, refining search relevance, and conducting detailed data annotation and categorization across multiple domains. I take pride in delivering high-quality, consistent results that directly enhance model performance and user experience. Previously, I worked with Remotasks on diverse annotation projects involving text summarization, image labeling, and audio transcription, strengthening my skills in precision labeling and cross-modal data interpretation. Combined with my software engineering background from Micron Technology, where I developed tools using Python and Java, I bring both technical understanding and hands-on data expertise to every project. My strengths in analytical reasoning, attention to detail, and collaborative problem-solving enable me to contribute effectively to AI training initiatives across language, vision, and multimodal datasets.

ExpertYorubaEnglishSpanish

Labeling Experience

Scale AI

Text Data Labeling and Summarization

Scale AITextClassificationText Summarization
Labeled and summarized large volumes of text data to train and refine natural language understanding models. Tasks involved categorizing text, evaluating chatbot responses, and rating AI-generated outputs for quality, tone, and relevance. Consistently delivered high-accuracy annotations while adhering to established linguistic and contextual standards. Contributed to improving conversational AI systems and enhancing the quality of large language model datasets.

Labeled and summarized large volumes of text data to train and refine natural language understanding models. Tasks involved categorizing text, evaluating chatbot responses, and rating AI-generated outputs for quality, tone, and relevance. Consistently delivered high-accuracy annotations while adhering to established linguistic and contextual standards. Contributed to improving conversational AI systems and enhancing the quality of large language model datasets.

2020 - 2024
Scale AI

Audio Transcription and Speech Data Labeling

Scale AIAudioClassificationTranslation Localization
Transcribed and labeled speech and sound data to train automatic speech recognition and voice assistant systems. Tasks involved segmenting audio clips, classifying speaker intent, and ensuring text-audio alignment accuracy. Delivered precise and consistent transcriptions while meeting project-specific formatting and linguistic requirements.

Transcribed and labeled speech and sound data to train automatic speech recognition and voice assistant systems. Tasks involved segmenting audio clips, classifying speaker intent, and ensuring text-audio alignment accuracy. Delivered precise and consistent transcriptions while meeting project-specific formatting and linguistic requirements.

2020 - 2022
Scale AI

Image Annotation and Object Detection

Scale AIImageBounding BoxPolygon
Performed image annotation and object detection tasks to support the development of computer vision models. Applied bounding boxes and polygon tools to identify and label key visual elements in diverse image datasets. Ensured labeling accuracy by following strict project guidelines and reviewing samples for consistency. Helped improve visual AI systems for object classification and recognition performance.

Performed image annotation and object detection tasks to support the development of computer vision models. Applied bounding boxes and polygon tools to identify and label key visual elements in diverse image datasets. Ensured labeling accuracy by following strict project guidelines and reviewing samples for consistency. Helped improve visual AI systems for object classification and recognition performance.

2020 - 2022

Education

P

Purdue University

Bachelor of Science, Computer Science

Bachelor of Science
2012 - 2016
P

Purdue University

Associate Degree, Computer Science

Associate Degree
2010 - 2012

Work History

M

Micron Technology

Software Engineering Intern

Boise
2015 - 2016