A complete application in a minute
Tailored resume and cover letter, ready to send.
Rise Data Labs, a leading AI training and data annotation company, seeks an AI Training Specialist focused on HTML coding. You will annotate and label data to train reliable AI models and help improve model accuracy across domains.
You will review AI outputs, apply domain expertise, and collaborate with cross-functional teams to ensure high-quality training data. The role offers a remote-first environment and opportunities for growth in cutting-edge AI projects.
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.
Join Rise Data Labs as an AI Training Specialist with a focus on HTML coding. You will play a crucial role in training and improving AI models through effective data annotation and labeling. Your expertise will ensure that the AI systems we develop are accurate, reliable, and efficient.
At Rise Data Labs, we value our team members and offer a collaborative working environment. You will have opportunities for professional growth and development, along with competitive compensation and flexible working arrangements.