Adam Rook

Key Skills

Software

Mercor

Other

Data Annotation Tech

iMerit

Labelbox

Micro1

OneForma

Remotasks

Scale AI

SuperAnnotate

Top Subject Matter

Cinematography Domain Expertise

Video-understanding Domain Expertise

Editorial Content

Top Data Types

Video

Text

Image

Document

Top Task Types

RLHF

Prompt Response Writing SFT

Classification

Text Generation

Object Detection

Text Summarization

Fine Tuning

Red Teaming

Transcription

Evaluation Rating

Question Answering

Freelancer Overview

AI Expert (Multimodal AI Specialist). Brings 14+ years of professional experience across media prodcution, with 4 years in bringing that expertise to AI training roles. Education includes Professional Certification, National Council for the Training of Journalists (2012) and Certificate of Higher Education, The Open University (2013). AI-training focus includes data types such as Video and Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Expert (Multimodal AI Specialist)

MercorVideoRLHF

I applied expert knowledge of cinematography and post-production to create structured labeling for video model training. I developed complex datasets focused on narrative consistency and technical elements for large-scale video-understanding AI models. My work ensured alignment with model objectives and editorial integrity across multimodal data inputs. • Led annotation and auditing projects on video-to-text and image-to-text tasks • Created labeling protocols to support RLHF training methodologies • Specialized in ensuring high-quality, instruction-compliant datasets • Introduced editorial standards into AI data processes

I applied expert knowledge of cinematography and post-production to create structured labeling for video model training. I developed complex datasets focused on narrative consistency and technical elements for large-scale video-understanding AI models. My work ensured alignment with model objectives and editorial integrity across multimodal data inputs. • Led annotation and auditing projects on video-to-text and image-to-text tasks • Created labeling protocols to support RLHF training methodologies • Specialized in ensuring high-quality, instruction-compliant datasets • Introduced editorial standards into AI data processes

2025 - Present

Quality Assurance Analyst (Senior Reviewer)

Video

As Senior Reviewer, I contributed to projects for OpenAI and Meta, concentrating on reasoning and summarization tasks. I audited work of 50+ contributors to maintain high accuracy in alignment and established benchmarks for evaluating generative video and text outputs. My responsibilities also included oversight of complex generative AI labeling pipelines. • Maintained a 95%+ accuracy rate in reviewed submissions • Established internal QA benchmarks for AI output • Focused on alignment evaluation and content verification • Oversaw QA for both video and text data labeling

As Senior Reviewer, I contributed to projects for OpenAI and Meta, concentrating on reasoning and summarization tasks. I audited work of 50+ contributors to maintain high accuracy in alignment and established benchmarks for evaluating generative video and text outputs. My responsibilities also included oversight of complex generative AI labeling pipelines. • Maintained a 95%+ accuracy rate in reviewed submissions • Established internal QA benchmarks for AI output • Focused on alignment evaluation and content verification • Oversaw QA for both video and text data labeling

2024 - Present

AI Training Data Analyst

Text

I aligned large language models across creative writing, visual media, and journalism domains through high-fidelity annotation. Key tasks involved high-stakes red teaming and detection of hallucinations in multimedia outputs. My focus was to ensure the factual quality and responsible AI generation in context-rich environments. • Executed red teaming for bias and error identification • Delivered comprehensive annotations to improve model reliability • Focused on factual accuracy for media and journalism-related outputs • Evaluated and reported on model performance for further tuning

I aligned large language models across creative writing, visual media, and journalism domains through high-fidelity annotation. Key tasks involved high-stakes red teaming and detection of hallucinations in multimedia outputs. My focus was to ensure the factual quality and responsible AI generation in context-rich environments. • Executed red teaming for bias and error identification • Delivered comprehensive annotations to improve model reliability • Focused on factual accuracy for media and journalism-related outputs • Evaluated and reported on model performance for further tuning

2024 - Present

Founder & AI Automation Specialist

TextPrompt Response Writing SFT

I launched the AI automation arm of a media firm, specializing in prompt engineering and output standardization. My efforts ensured consistent, high-standard outputs for generative models through sophisticated prompt construction. I also designed workflows for automated lead qualification leveraging labeled data. • Built and deployed prompt chains for generative models • Developed standards and guidelines for prompt-response tasks • Ensured alignment and editorial quality in AI outputs • Automated data labeling components for business automation

I launched the AI automation arm of a media firm, specializing in prompt engineering and output standardization. My efforts ensured consistent, high-standard outputs for generative models through sophisticated prompt construction. I also designed workflows for automated lead qualification leveraging labeled data. • Built and deployed prompt chains for generative models • Developed standards and guidelines for prompt-response tasks • Ensured alignment and editorial quality in AI outputs • Automated data labeling components for business automation

2023 - Present

Education

Work History