Robin Lindgren

As a detail-obsessed bilingual linguist fluent in Swedish and English, I have extensive experience in annotation, linguistic QA, and AI-human interaction tuning across multilingual workflows. My specialization lies in multimodal content labeling, ambiguity resolution, and language model evaluation, focusing on instruction-following, emotional calibration, and tone accuracy. I have proven excellence in high-volume annotation environments, consistently meeting tight deadlines while adhering to rigorous QA metrics and multilingual safety protocols.

Currently, I serve as an AI Linguistic Trainer at Alignerr, where I have authored over 2,000 linguistically diverse Swedish prompts for LLM bias detection and instruction tuning. My role involves creating domain-specific content and designing adversarial prompt samples for multilingual safety testing pipelines. Additionally, I have worked as an AI Tutor, conducting output audits to evaluate clarity and empathy, and as an AI Data Annotator, where I applied stringent QA processes to ensure precision across text, image, and video inputs for model training.

My educational background in Behavioral Science, where I graduated with distinction, complements my technical skills in annotation and QA tools, image editing software, and various AI tools. I am passionate about maintaining annotation consistency across large datasets while ensuring cultural nuance and compliance, and I am eager to contribute my expertise to innovative projects in the AI and linguistic fields.