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Rise Data Labs, a leading AI training and data annotation company, seeks a Mathematics AI Training Specialist in the United States (New York) to train and enhance AI models through precise data annotation and validation.
You will apply your mathematics expertise to ensure accuracy across diverse projects, review AI-generated content for mathematical correctness, and collaborate with cross-functional teams while maintaining rigorous quality standards.
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 a Mathematics AI Training Specialist at Rise Data Labs, you will play a pivotal role in training and enhancing artificial intelligence models. Your expertise in mathematics will be essential in providing accurate data annotation and validation, ensuring our AI systems perform at their best across various applications.
At Rise Data Labs, we offer a dynamic work environment where innovation thrives. You will have the opportunity to work on cutting-edge AI projects, collaborate with industry experts, and contribute to meaningful advancements in technology.