Wagner R.

Key Skills

Software

Labelbox

Label Studio

Dataloop

CVAT

Top Subject Matter

Computer vision datasets for AI/ML training

NLP datasets for AI/ML training

Speech and audio datasets for AI/ML training

Top Data Types

Image

Text

Audio

Video

Top Task Types

Segmentation

Entity (NER) Classification

Transcription

Tracking

Freelancer Overview

Outlier — AI Training Specialist (Remote) | Data Annotation & QA. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Label Studio, and Dataloop. Education includes Bachelor’s Degree, University of Alabama. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Segmentation, Entity (NER) Classification, and Transcription.

Labeling Experience

Outlier — AI Training Specialist (Remote) | Video Annotation & Tracking QA

CVATVideoTracking

Performed video annotation work for AI training tasks, including object-level tracking activities. Conducted review and validation passes to maintain label accuracy across video frames. Supported training efforts by ensuring quality of annotated sequences. • Video annotation and object tracking • Review/validation for temporal label consistency • Quality assurance on annotation outputs • Support for model training dataset quality checks

2024 - 2025

Outlier — AI Training Specialist (Remote) | Audio Annotation & QA

DataloopAudioTranscription

Annotated and validated audio datasets for speech recognition and audio processing model training. Reviewed and confirmed annotation correctness during quality assurance checks. Evaluated outputs and ensured labeled data aligned with expected formats and guidelines. • Audio annotation and speech data processing • Quality assurance validation of audio labels • Evaluation of model outputs for labeling issues • Dataset readiness support for training workflows

2024 - 2025

Outlier — AI Training Specialist (Remote) | Text Annotation & Validation

Label StudioTextEntity (NER) Classification

Labeled and validated text data used for NLP and AI training purposes. Conducted review passes to confirm label quality and to correct inconsistencies. Assisted with training support by ensuring datasets met project requirements. • Text classification and NLP annotation • Validation and quality assurance of labeled data • Review of annotation outputs for consistency • Training dataset preparation support

2024 - 2025

Outlier — AI Training Specialist (Remote) | Data Annotation & QA

LabelboxImageSegmentation

Annotated and validated AI training datasets for computer vision and multimodal projects. Performed quality assurance reviews and evaluated model outputs to ensure label consistency and accuracy. Covered both bounding box-style and pixel-level labeling tasks as part of training workflows. • Bounding box and semantic segmentation labeling • Dataset review, validation, and quality assurance • Model output evaluation and feedback for improvements • Support for AI model training readiness checks

2024 - 2025

Education

Work History