AI Training Specialist; Russian Fluency

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 fluent in Russian, you will play a crucial role in enhancing our AI models through precise data annotation and labeling. Your expertise will ensure that our AI-generated content meets high standards of accuracy and relevance.

• Train and improve AI models by annotating and labeling data accurately.
• Review and validate AI-generated content to ensure correctness and quality.
• Provide domain expertise to support and enhance AI model performance.
• Collaborate on various AI training projects across multiple fields.
• Ensure the delivery of high-quality data for machine learning applications.

• Fluency in Russian and English, both written and spoken.
• Strong attention to detail and commitment to quality assurance.
• Experience with data annotation or AI training processes.
• Ability to work independently and collaboratively in a fast-paced environment.

• Background in linguistics, computer science, or a related field.
• Familiarity with machine learning concepts and practices.
• Experience in working with AI training tools and software.

• Competitive hourly wage with opportunities for growth.
• A dynamic work environment with a focus on innovation.
• Flexible working hours and remote work options.
• Access to professional development resources and training.