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Rodney Branigan

Rodney Branigan

Founder, Artist, and Producer

United Kingdom flagN/A, United Kingdom
$20.00/hrIntermediateData Annotation Tech

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

Audio Production
3D modeling
Video Production

Top Data Types

ImageImage

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I have hands-on experience in data labeling and AI training workflows across text, image, and video domains, including work on long-context failure analysis, image recognition, and video-assisted annotation tasks. My contributions have involved identifying inconsistencies, improving labeling accuracy, and supporting chain-of-thought (CoT) correction processes to enhance model reasoning and output quality. I approach annotation with a strong emphasis on consistency, structure, and clarity, ensuring datasets are reliable and aligned with training objectives. What sets me apart is a multidisciplinary background that strengthens my training data work. I bring over 30 years of professional experience in audio, including voice-over and editing, alongside video editing, 3D modelling, and 2D design. This allows me to work fluidly across multimodal datasets, with a deep understanding of timing, visual composition, and signal detail. Combined with a systems-thinking approach, I am able to translate complex real-world inputs into structured, high-quality data suitable for training advanced AI models.

IntermediateEnglishSpanish

Labeling Experience

Video Cut Analysis – AI Video Understandin

VideoSegmentation
Worked on video cut analysis projects through Outlier, supporting the development of AI video analysis tools. Responsibilities included identifying and labeling scene transitions, shot boundaries, and temporal changes within video sequences to improve model understanding of continuity and segmentation. Contributed to dataset quality by analyzing edge cases such as abrupt cuts, motion transitions, and complex scene changes. This work supported the training of models to better interpret video structure, timing, and visual flow, enhancing performance in real-time and post-processed video analysis tasks.

Worked on video cut analysis projects through Outlier, supporting the development of AI video analysis tools. Responsibilities included identifying and labeling scene transitions, shot boundaries, and temporal changes within video sequences to improve model understanding of continuity and segmentation. Contributed to dataset quality by analyzing edge cases such as abrupt cuts, motion transitions, and complex scene changes. This work supported the training of models to better interpret video structure, timing, and visual flow, enhancing performance in real-time and post-processed video analysis tasks.

2026 - 2026

Long Context Failure Analysis – AI Training Data

TextText Summarization
Worked on long context failure analysis projects through Data Annotation, focusing on improving model performance across extended text inputs. Responsibilities included evaluating model outputs against complex, multi-layered prompts and identifying breakdowns in reasoning, coherence, and instruction retention over long sequences.

Worked on long context failure analysis projects through Data Annotation, focusing on improving model performance across extended text inputs. Responsibilities included evaluating model outputs against complex, multi-layered prompts and identifying breakdowns in reasoning, coherence, and instruction retention over long sequences.

2025 - 2025

Grok 4 Live Video Mode – Training Data & Annotation

VideoObject Detection
Contributed to the development and refinement of training data for Grok 4’s live video mode through Data Annotation. Work focused on creating and structuring multimodal datasets involving video, image, and text inputs to support real-time scene understanding and model performance. Responsibilities included annotating video-based data, identifying inconsistencies, and improving dataset quality through iterative feedback. Additionally, contributed to troubleshooting updated training data by analyzing edge cases, correcting labeling errors, and supporting chain-of-thought (CoT) correction processes to enhance model reasoning and output reliability.

Contributed to the development and refinement of training data for Grok 4’s live video mode through Data Annotation. Work focused on creating and structuring multimodal datasets involving video, image, and text inputs to support real-time scene understanding and model performance. Responsibilities included annotating video-based data, identifying inconsistencies, and improving dataset quality through iterative feedback. Additionally, contributed to troubleshooting updated training data by analyzing edge cases, correcting labeling errors, and supporting chain-of-thought (CoT) correction processes to enhance model reasoning and output reliability.

2025 - 2025

Education

T

Texas Tech Universitly Online

Certificate of Higher Learning, Venture Creation

Certificate of Higher Learning
2024 - 2025
A

Amarillo High School

Diploma, General Education

Diploma
1991 - 1995

Work History

R

RARE Lighting Systems

Co-Founder, CEO, and CTO

N/A
2021 - Present
R

Re-Play Music

Project Coordinator and Volunteer Music Educator

N/A
2007 - Present