Remote AI Training Specialist - Russian & English

Rise Data Labs; New York (NY); A distancia; USD 34.000 - 55.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Competitive hourly rates

Professional development

Descripción de la vacante

Rise Data Labs is hiring an AI Training Specialist fluent in Russian to join our remote-first team. You will train and annotate data to improve AI models, ensuring accuracy and relevance across diverse projects.

Multilingual capability and attention to detail are essential for delivering high-quality training data. Ideal candidates have experience in data annotation for AI, a STEM background, and the ability to work independently within a collaborative team.

Formación

• Fluency in Russian and English, written and spoken.
• Strong understanding of AI concepts and machine learning principles.
• Excellent attention to detail and analytical skills.
• Experience in data annotation, labeling, or quality assurance in AI projects.
• Ability to work independently and collaboratively in a team environment.

Responsabilidades

• Train and improve AI models through precise data annotation and labeling.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance the performance of AI models.
• Work on diverse AI training projects across multiple fields.
• Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance standards.

Conocimientos

Fluent Russian

Fluent English

AI concepts

Attention to detail

Data annotation experience

Independent worker

Educación

STEM degree

Herramientas

AI training tools

Descripción del empleo

Rise Data Labs is hiring an AI Training Specialist fluent in Russian to join our remote-first team. You will train and annotate data to improve AI models, ensuring accuracy and relevance across diverse projects.

Multilingual capability and attention to detail are essential for delivering high-quality training data. Ideal candidates have experience in data annotation for AI, a STEM background, and the ability to work independently within a collaborative team.