Dr Strange Annotation Project for Native German Speakers
Contribute to the advancement of AI in Healthcare by annotating clinical data, transcriptions, and dialogues to enhance AI-driven medical documentation.
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No subject matter listed
I’m a multilingual AI-training specialist with 4 years of experience in data labeling, LLM evaluation, and localization QA. Fluent in Arabic, English, German, French, and Russian, I create and audit high-fidelity datasets that power next-gen language and speech models. Highlights include reducing hallucination rates from 22 % → 6 % on an Arabic LLM by redesigning evaluation rubrics and prompt-grounding workflows, and producing 200 + studio-quality German speech prompts now used in a TTS model with < 2 % word-error rate. Skilled with Labelbox, Hugging Face Datasets, Python/pandas, and live Power BI dashboards, I combine linguistic precision with data-driven insights to deliver accurate, culturally nuanced training data on tight timelines. Certified Google Cloud Data Engineer and Salesforce Administrator, I thrive in cross-functional teams where measurable quality and rapid iteration drive AI performance.
Contribute to the advancement of AI in Healthcare by annotating clinical data, transcriptions, and dialogues to enhance AI-driven medical documentation.
writing a prompt in German, evaluate 2 responses from two different model, and than providing a real human answer.
Exclusive community of over 1800 experts—from accomplished PhDs to brilliant researchers and top-performing undergraduates—all dedicated to challenging the limits of AI with expert-level questions in Humanity’s
Evaluated 5000+ model outputs in Arabic and German for factual accuracy, relevance, brevity, and stylistic correctness. Redesigned the evaluation rubric and prompt-grounding workflow, which reduced hallucination errors from 22 % to 6 %. Created gold-standard answer sets for RLHF fine-tuning and ran cross-rater calibration sessions to raise inter-annotator agreement to 92 %.
PharmD, Pharmacy
Bachelor's in Economics and Business Administration , Economics
Business Officer
Customer Service Specialist