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Rise Data Labs is seeking an AI Training Specialist with a strong foundation in organic and inorganic chemistry. You will annotate and label chemistry-related data to train AI models, review AI outputs for accuracy, and apply domain expertise to improve data quality for machine learning applications.
The role supports a flexible, remote-first environment with opportunities to work on cutting-edge AI projects across diverse fields, collaborating with cross-functional teams to ensure high-quality
Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.
Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.
At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.
As an AI Training Specialist with expertise in organic and inorganic chemistry, you will play a crucial role in enhancing the performance of our AI models. Your responsibilities will include training AI systems through data annotation and labeling, reviewing AI-generated content for accuracy, and providing your domain expertise to ensure high-quality data for machine learning applications.
At Rise Data Labs, we provide a dynamic work environment that fosters innovation and professional growth. Our team enjoys competitive compensation, flexible working hours, and opportunities for continuous learning in the rapidly evolving field of AI.