Jerrad Thomas

Key Skills

Software

Other

Remotasks

Scale AI

Top Subject Matter

AI Speech Recognition and Quality Evaluation

Audio and Multimodal Data Annotation

Multimodal AI Training Data Annotation

Top Data Types

Audio

Image

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Specialist. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, Remotasks, and Scale AI. Education includes Bachelor of Arts, University of North Carolina (2021). AI-training focus includes data types such as Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Specialist

OtherAudio

As an AI Data Specialist at Outlier AI, I evaluated AI-generated outputs across audio, text, and image datasets using structured rubrics. My work focused on speech-to-text tasks, audio quality analysis, and transcript alignment validation. I ensured high accuracy standards and documented detailed findings in accordance with established guidelines. • Evaluated speech samples for pronunciation, clarity, and background noise issues. • Categorized and annotated audio segments for specific errors or inconsistencies. • Verified transcript alignment and assessed audio for missing or distorted content. • Applied guideline-based QA assessments and maintained documentation.

As an AI Data Specialist at Outlier AI, I evaluated AI-generated outputs across audio, text, and image datasets using structured rubrics. My work focused on speech-to-text tasks, audio quality analysis, and transcript alignment validation. I ensured high accuracy standards and documented detailed findings in accordance with established guidelines. • Evaluated speech samples for pronunciation, clarity, and background noise issues. • Categorized and annotated audio segments for specific errors or inconsistencies. • Verified transcript alignment and assessed audio for missing or distorted content. • Applied guideline-based QA assessments and maintained documentation.

2023 - 2025

Data Annotation Specialist

RemotasksAudioClassification

In my role as Data Annotation Specialist at Remotasks, I labeled and reviewed a range of audio, text, and image datasets for training AI models. My responsibilities included classification and peer review of audio and speech data to improve dataset quality. I achieved productivity and accuracy objectives in a fast-paced remote environment. • Conducted quality checks and classification on speech recordings and audio clips. • Identified inconsistencies in tone, clarity, and transcription alignment in datasets. • Participated in error correction workflows to enhance dataset reliability. • Labeled images and text segments to support multimodal AI projects.

In my role as Data Annotation Specialist at Remotasks, I labeled and reviewed a range of audio, text, and image datasets for training AI models. My responsibilities included classification and peer review of audio and speech data to improve dataset quality. I achieved productivity and accuracy objectives in a fast-paced remote environment. • Conducted quality checks and classification on speech recordings and audio clips. • Identified inconsistencies in tone, clarity, and transcription alignment in datasets. • Participated in error correction workflows to enhance dataset reliability. • Labeled images and text segments to support multimodal AI projects.

2022 - 2022

AI Training and Data Labeling Contributor

Scale AIAudioClassification

As an AI Training and Data Labeling Contributor at Scale AI, I worked on multimodal annotation projects involving audio, text, and visual data. I performed quality checks on speech tasks and assisted with identifying edge cases and inconsistencies. I ensured annotated datasets met guidelines for machine learning pipelines. • Labeled and validated audio and speech data for model training. • Classified and annotated visual and textual data for diverse AI use cases. • Identified and documented challenging or boundary cases in onboarding datasets. • Verified data annotation consistency and adherence to quality standards.

As an AI Training and Data Labeling Contributor at Scale AI, I worked on multimodal annotation projects involving audio, text, and visual data. I performed quality checks on speech tasks and assisted with identifying edge cases and inconsistencies. I ensured annotated datasets met guidelines for machine learning pipelines. • Labeled and validated audio and speech data for model training. • Classified and annotated visual and textual data for diverse AI use cases. • Identified and documented challenging or boundary cases in onboarding datasets. • Verified data annotation consistency and adherence to quality standards.

2021 - 2022

Education

Work History