Gaucho

Key Skills

Software

Label Studio

AWS SageMaker

Top Subject Matter

AI training data annotation for sentiment analysis and bias detection

Computer vision dataset labeling for object detection and segmentation

Video data labeling and QA for AI model evaluation and bias detection

Top Data Types

Audio

Image

Video

Top Task Types

Emotion Recognition

Segmentation

Freelancer Overview

Freelancer (AI Data Specialist) — full-cycle annotation, QA, and bias-aware dataset preparation. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and AWS SageMaker. Education includes Master of Science, Texas US (2017) and Bachelor of Commerce, California University (2015). AI-training focus includes data types such as Audio, Image, and Video and labeling workflows including Emotion Recognition, Segmentation, and Evaluation.

Labeling Experience

Freelancer (AI Data Specialist) — video labeling QA and evaluation collaboration

AWS SageMakerVideo

Performed video dataset labeling and quality assurance to support model evaluation and dataset readiness. Used agreement-based QA and structured review to ensure labels met quality thresholds. Assisted in bias detection analysis that contributed to improved model accuracy. • Produced video-related labels aligned with project taxonomy and quality rubric • Conducted QA verification and resolved ambiguous cases to improve consistency • Supported pairwise comparisons for labeling calibration across samples • Coordinated with engineering teams on evaluation findings and bias mitigation

2023 - Present

Freelancer (AI Data Specialist) — computer vision annotation and evaluation support

Label StudioImageSegmentation

Completed image object detection tagging and semantic segmentation labeling for large-scale datasets to improve model training quality. Achieved inter-annotator agreement scores exceeding 98% through structured QA and review. Participated in model performance evaluation activities to help identify data biases contributing to errors. • Created object detection tags and segmentation masks for image instances • Conducted pairwise comparisons and review sessions to resolve labeling disagreements • Performed semantic segmentation labeling with agreement-focused validation • Contributed to engineering discussions that improved model accuracy up to 12%

2023 - Present

Freelancer (AI Data Specialist) — full-cycle annotation, QA, and bias-aware dataset preparation

Label StudioAudioEmotion Recognition

Provided audio annotation and sentiment labeling across audio/video/image datasets to improve supervised learning readiness. Performed quality assurance and validation to maintain inter-annotator agreement above 98%. Contributed to bias detection and analysis that supported measurable model accuracy gains. • Labeled sentiment and relevant audio attributes for large-scale audio instances • Carried out QA checks and consistency verification for labeled outputs • Supported pairwise comparisons to evaluate labeling consistency and edge cases • Collaborated with engineering teams to investigate data bias and performance gaps

2023 - Present

Education

Work History