AI Data Annotator & Model Trainer (LLM / Prompt Evaluation)

We are looking for detail-oriented AI Data Annotators and Model Trainers to help us evaluate, fine-tune, and improve state-of-the-art machine learning models (Large Language Models and Multimodal AI). In this role, you will review AI-generated responses, assess factual accuracy, perform data labeling, and provide clear, constructive feedback to enhance model performance. Responsibilities: Evaluate and rank AI-generated responses based on accuracy, helpfulness, tone, safety, and adherence to instructions. Perform detailed data annotation (such as text tagging, categorization, preference ranking, and content moderation). Write creative, complex prompts and benchmark tests to stress-test model capabilities. Provide clear, written justifications for your evaluations to guide machine learning engineers in fine-tuning. Requirements: Proven experience in data annotation, AI training, content moderation, linguistics, technical writing, or a related field. Exceptional attention to detail and strong critical thinking skills. Excellent written communication skills in English, with the ability to articulate complex reasoning clearly. Familiarity with concepts like LLMs, RLHF (Reinforcement Learning from Human Feedback), or prompt engineering is a strong plus.