John Ward

Key Skills

Software

Don't disclose

Top Subject Matter

AI/ML Training Pipelines

Multilingual Language Models

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

No task types listed

Freelancer Overview

My experience with AI data annotation and training is current; I am actively working as a freelance AI Data Annotator and AI Trainer, evaluating and providing structured feedback on AI-generated outputs to support model improvement. What sets me apart in this space is my multilingual capability: as a native English speaker with C1 Portuguese and B1 Russian, I can annotate and assess datasets across multiple languages with genuine cultural and linguistic accuracy, a skill set that is directly valuable for training large language models on diverse, international data. My work experience in Brazil at Global Translation verifies this.

Labeling Experience

AI Data Annotator & AI Trainer

MindriftText

I performed structured data annotation tasks to support the training and fine-tuning of large language models and other AI systems. My responsibilities included evaluating, ranking, and providing written feedback on AI-generated outputs to improve model accuracy, safety, and quality. I also applied linguistic expertise in English and Portuguese to annotate multilingual datasets for contextually appropriate labeling. • Conducted structured data annotation and evaluation for LLMs. • Provided reinforcement learning from human feedback (RLHF) assessments. • Annotated multilingual text data, ensuring cultural and linguistic accuracy. • Supported the improvement of AI model performance through feedback and annotation tasks.

I performed structured data annotation tasks to support the training and fine-tuning of large language models and other AI systems. My responsibilities included evaluating, ranking, and providing written feedback on AI-generated outputs to improve model accuracy, safety, and quality. I also applied linguistic expertise in English and Portuguese to annotate multilingual datasets for contextually appropriate labeling. • Conducted structured data annotation and evaluation for LLMs. • Provided reinforcement learning from human feedback (RLHF) assessments. • Annotated multilingual text data, ensuring cultural and linguistic accuracy. • Supported the improvement of AI model performance through feedback and annotation tasks.

2026 - Present

Education

Work History