Taylor Ryan H.

Key Skills

Software

Supervisely

Top Subject Matter

AI multimedia annotation (spatial tracking, action recognition, point/key-point labeling)

Structured record validation and classification (data operations quality gates)

Legal Services & Contract Review

Top Data Types

Video

Text

Image

Document

Top Task Types

Action Recognition

Classification

Tracking

Point/Key Point

Freelancer Overview

AI Data Trainer & Multimedia Annotation Contractor — Crowdsourcing Lab (Remote/Texas). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Supervisely, Internal, and Proprietary Tooling. Education includes Bachelor of Science, The University of Texas at Austin. AI-training focus includes data types such as Video, Text, and Image and labeling workflows including Action Recognition, Classification, and Tracking.

Labeling Experience

Data Operations & Infrastructure Support Specialist - Rackspace Technology

ImageClassification

Specialized in operational and infrastructure support for customer data management across internal databases and systems. Maintained strict accuracy by inputting, updating, auditing, and validating high-volume account records. Applied analytical quality checks and taxonomy-based classification while collaborating with teams to reduce processing friction and improve indexing performance. • Input, update, and audit high-volume customer accounts and digital records • Monitor data pipelines for systemic exceptions using defined quality metrics • Classify records according to evolving business taxonomies • Collaborate with IT to identify entry friction points and improve indexing speed

2024 - Present

Data Operations & Infrastructure Support Specialist — Rackspace Technology (San Antonio, TX)

TextClassification

Maintained and validated structured digital records by inputting, updating, and auditing high-volume customer accounts across central company databases. Monitored pipeline quality gates for exceptions and ensured records were classified according to evolving business taxonomies. Documented workflow issues and supported automation improvements to reduce processing anomalies.• Performed ongoing data validation and audit checks for consistency and correctness.• Classified records within company-defined schemas and taxonomies.• Logged and tracked entry friction points to improve indexing throughput.• Supported analytical quality metrics to prevent systemic input errors.

2024 - Present

Multimedia Annotation Contractor (Excluded) - Crowdsourcing Lab

ImageClassificationTracking

Served as a contractor supporting multi-modal labeling and ground-truth generation workflows. Produced high-density coordinate-based annotations intended for machine learning validation models. Worked independently in a remote asynchronous environment to deliver verified data outputs within weekly allocation windows. • Performed spatial tracking and action recognition/classification using labeling software • Generated coordinate points and point/key point markers for ML validation • Managed asynchronous contractor task flows independently • Delivered high-quality verified data outputs on weekly schedules

2023 - 2024

AI Data Trainer & Multimedia Annotation Contractor — Crowdsourcing Lab (Remote/Texas)

SuperviselyVideoAction Recognition

Executed multi-modal spatial tracking, action recognition, and classification annotations across raw media using Supervisely. Produced ground-truth labels by mapping explicit coordinate points and point/key-point markers to support machine learning validation models. Maintained high-quality verified outputs within weekly contractor allocation windows.• Annotated action-related content and structured entity attributes for downstream learning.• Generated up to 23 high-density labels per item including coordinate/key-point data.• Performed contextual ground-truth verification and data quality checks asynchronously.• Interpreted dense labeling instructions to resolve labeling ambiguities and ensure consistency.

2023 - 2024

Education

Work History