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Jamie Rose Leonard

Jamie Rose Leonard

Senior AI Data Annotator - Image Annotation

USA flag
Virginia, Usa
$25.00/hrExpertLabelboxScale AIAppen

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
AppenAppen
TolokaToloka
RemotasksRemotasks
MercorMercor

Top Subject Matter

Computer Vision
Video Analytics
Speech Recognition

Top Data Types

ImageImage
TextText
AudioAudio
DocumentDocument
VideoVideo

Top Task Types

Bounding Box
Entity Ner Classification
Transcription
Audio Recording
Emotion Recognition
Action Recognition
Data Collection

Freelancer Overview

Senior AI Data Annotator - Image Annotation. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Bounding Box, Action Recognition, and Transcription.

ExpertSwahiliEnglish

Labeling Experience

Labelbox

AI Training Data Specialist

LabelboxTextEntity Ner Classification
In my role as AI Training Data Specialist at Mercor, I annotated large text datasets with a focus on entity recognition, intent classification, and evaluation for language models. My tasks involved reviewing, correcting, and ensuring consistency of dataset annotations, along with participating in evaluation and improvement cycles. I used multiple platforms to optimize data quality for AI training. • Labeled and classified text data for use in language model pipelines. • Reviewed annotations for accuracy and guideline adherence. • Participated in dataset evaluation and correction. • Improved annotation workflows with feedback to engineering teams.

In my role as AI Training Data Specialist at Mercor, I annotated large text datasets with a focus on entity recognition, intent classification, and evaluation for language models. My tasks involved reviewing, correcting, and ensuring consistency of dataset annotations, along with participating in evaluation and improvement cycles. I used multiple platforms to optimize data quality for AI training. • Labeled and classified text data for use in language model pipelines. • Reviewed annotations for accuracy and guideline adherence. • Participated in dataset evaluation and correction. • Improved annotation workflows with feedback to engineering teams.

2024 - Present
Labelbox

Senior AI Data Annotator

LabelboxVideoBounding BoxEmotion Recognition
As Senior AI Data Annotator at OpenTrain AI, I performed comprehensive labeling and validation of multimodal training datasets including image, audio, video, and text data. My responsibilities included applying bounding box and segmentation mask techniques, maintaining high annotation accuracy, and collaborating with remote teams to improve AI model training data. I utilized various annotation platforms while adhering to strict dataset guidelines and achieving over 97% accuracy. • Executed bounding box, segmentation, and polygon image labeling using industry tools. • Conducted frame-level video object tracking with precision. • Managed detailed text annotation, including entity recognition and sentiment classification. • Reviewed and validated audio event labeling and speech segmentation.

As Senior AI Data Annotator at OpenTrain AI, I performed comprehensive labeling and validation of multimodal training datasets including image, audio, video, and text data. My responsibilities included applying bounding box and segmentation mask techniques, maintaining high annotation accuracy, and collaborating with remote teams to improve AI model training data. I utilized various annotation platforms while adhering to strict dataset guidelines and achieving over 97% accuracy. • Executed bounding box, segmentation, and polygon image labeling using industry tools. • Conducted frame-level video object tracking with precision. • Managed detailed text annotation, including entity recognition and sentiment classification. • Reviewed and validated audio event labeling and speech segmentation.

2024 - Present
Appen

Audio Annotation Specialist

AppenAudioTranscription
As an Audio Annotation Specialist at Barbel Audio, I was responsible for labeling and validating large sets of speech recordings for speech recognition AI models. I performed speaker diarization, transcription validation, and acoustic event tagging, with a focus on time-stamped accuracy. My work required the use of specialized audio annotation tools and adherence to strict dataset standards. • Labeled speech segments for automatic speech recognition (ASR) training. • Verified and aligned audio transcriptions with original recordings. • Tagged acoustic events and speaker changes. • Maintained precise timestamp labeling for large datasets.

As an Audio Annotation Specialist at Barbel Audio, I was responsible for labeling and validating large sets of speech recordings for speech recognition AI models. I performed speaker diarization, transcription validation, and acoustic event tagging, with a focus on time-stamped accuracy. My work required the use of specialized audio annotation tools and adherence to strict dataset standards. • Labeled speech segments for automatic speech recognition (ASR) training. • Verified and aligned audio transcriptions with original recordings. • Tagged acoustic events and speaker changes. • Maintained precise timestamp labeling for large datasets.

2023 - 2024
Appen

Environmental Audio Data Contributor

AppenAudioAudio RecordingData Collection
As Environmental Audio Data Contributor at Silencio, I recorded, categorized, and labeled environmental sound data for use in acoustic research and AI model training. My tasks included tagging background noises and urban environmental sounds and performing validation checks on candidate dataset entries. I ensured that recorded sounds met quality standards for AI training purposes. • Recorded and tagged urban and environmental audio samples. • Labeled environmental noise events with detailed descriptions. • Contributed to the validation and curation of sound datasets. • Assisted researchers in assembling high-quality environmental audio datasets.

As Environmental Audio Data Contributor at Silencio, I recorded, categorized, and labeled environmental sound data for use in acoustic research and AI model training. My tasks included tagging background noises and urban environmental sounds and performing validation checks on candidate dataset entries. I ensured that recorded sounds met quality standards for AI training purposes. • Recorded and tagged urban and environmental audio samples. • Labeled environmental noise events with detailed descriptions. • Contributed to the validation and curation of sound datasets. • Assisted researchers in assembling high-quality environmental audio datasets.

2022 - 2023

Education

U

University of North Carolina at Charlotte

Bachelor of Science, Information Technology

Bachelor of Science
2018 - 2022

Work History

M

Mercor AI

AI Data Trainer / AI Data Labelling Specialist

Chicago
2024 - 2025