Tinsley Shirkeria

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Video

Top Label Types

Bounding Box

Freelancer Overview

With over three years of experience in video editing and post-production, I have developed a keen eye for detail, consistency, and accuracy—skills that are essential for high-quality data labeling and annotation. My background involves meticulously reviewing visual content for pacing, continuity, and technical anomalies, as well as documenting editing decisions and refining workflows to ensure optimal output. I am highly proficient in industry-standard tools like Adobe Premiere Pro, DaVinci Resolve, and Final Cut, and have a strong interest in AI-aided creative systems, which has led me to experiment with new technologies and approaches in video analysis. My experience collaborating with teams, providing quality reviews, and optimizing content for various platforms has given me a solid foundation in structured data handling and quality assurance, making me well-suited for roles in AI training data and annotation, especially within computer vision domains.

Labeling Experience

Annotation & Video Creation Contributor

LabelboxVideoBounding Box

As an Annotation & Video Creation Contributor at Handshake, I carried out video, image, and text annotation projects for AI training. Tasks included frame-by-frame video tagging, image bounding box application, and metadata creation. I also designed prompts to train AI to interpret user requests during video creation. • Tagged video frames and created detailed metadata for improved AI performance. • Reviewed image descriptions and provided quality ratings. • Applied bounding boxes and segmentation with shading to guide object removal models. • Authored multimodal prompts to enhance generative AI capabilities.

As an Annotation & Video Creation Contributor at Handshake, I carried out video, image, and text annotation projects for AI training. Tasks included frame-by-frame video tagging, image bounding box application, and metadata creation. I also designed prompts to train AI to interpret user requests during video creation. • Tagged video frames and created detailed metadata for improved AI performance. • Reviewed image descriptions and provided quality ratings. • Applied bounding boxes and segmentation with shading to guide object removal models. • Authored multimodal prompts to enhance generative AI capabilities.

2025 - 2026

Outlier Data Specialist

LabelboxTextBounding Box

As an Outlier Data Specialist at Outlier AI, I trained AI models by labeling large-scale text, image, and audio data. I implemented bounding boxes, segmentation, and tagging models to ensure accurate dataset quality. Quality control processes were performed to maintain high multimodal data standards. • Labeled diverse multimodal datasets across text, image, and audio. • Created robust annotation schemas and workflows for effective data labeling. • Carried out detailed segmentation and bounding box assignments. • Led multimodal quality control checks for dataset consistency.

As an Outlier Data Specialist at Outlier AI, I trained AI models by labeling large-scale text, image, and audio data. I implemented bounding boxes, segmentation, and tagging models to ensure accurate dataset quality. Quality control processes were performed to maintain high multimodal data standards. • Labeled diverse multimodal datasets across text, image, and audio. • Created robust annotation schemas and workflows for effective data labeling. • Carried out detailed segmentation and bounding box assignments. • Led multimodal quality control checks for dataset consistency.

2024 - 2025

Education

Work History