Ruby Malloch

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Audio

Text

Top Label Types

Bounding Box

Text Generation

Object Detection

Prompt Response Writing SFT

Action Recognition

Tracking

Transcription

Relationship

Classification

Text Summarization

Freelancer Overview

I am a detail-oriented professional with strong experience in customer service, team leadership, and process optimization. My background in managing complex scheduling, inventory control, and digital platforms has equipped me with a keen eye for accuracy and consistency—skills that translate well to data labeling and AI training data roles. I am adept at following guidelines, adapting to new tools, and ensuring high-quality outcomes, whether it’s resolving discrepancies or tailoring solutions to meet specific needs. My experience delivering online lessons and managing diverse teams has strengthened my communication and multitasking abilities, and I am confident in my ability to contribute to precise and reliable data annotation projects in fast-paced environments.

Labeling Experience

AI Trainer

Scale AITextRelationshipClassification

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

2025

AI Trainer

Scale AIAudioTranscription

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

2025

AI Trainer

Scale AIVideoObject DetectionAction Recognition

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

2025

AI Trainer

Scale AIImageBounding BoxText Generation

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

Contributed to the development and refinement of large language models by performing high-accuracy data annotation, response evaluation, and quality assurance tasks. Reviewed AI-generated outputs to assess accuracy, clarity, tone, and policy compliance. Labeled and categorized complex text data to improve model understanding and performance. Identified inconsistencies, edge cases, and bias within outputs, providing structured feedback to enhance reliability and user alignment. Maintained strict productivity benchmarks while ensuring precision and consistency across all assigned datasets in a remote work environment.

2025

Education

Work History