Machine Learning Specialist - AI Trainer

Play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency. This role combines analytical thinking with hands-on data quality work, offering research-grade insights into model evaluation and improvement. Responsibilities: - Use internal tools to evaluate and critique AI-generated outputs, focusing primarily on technical and scientific domains. - Review complex model responses and suggest improvements with an emphasis on clarity, correctness, and domain relevance. - Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models. - Collaborate closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots. - Stay updated on model behaviors and guidelines as they evolve, applying sound judgment to nuanced annotation tasks.