Remote AI Training Specialist - Analytical Chemistry Expert

Rise Data Labs; Gran Bretaña; A distancia; GBP 55.000 - 83.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive hourly rates

Professional growth opportunities

Descripción de la vacante

Rise Data Labs is seeking an experienced AI Training Specialist with a strong Analytical Chemistry background to join our remote-first team. You will annotate and validate data, train AI models, and provide domain insights to improve model accuracy across projects.

Collaborate with cross-functional teams, ensure high-quality training data, and contribute to QA processes in a flexible, globally-distributed environment.

Formación

• Bachelor's degree in Analytical Chemistry or a related field.
• Proven experience in data annotation and AI training processes.
• Strong analytical skills with attention to detail.
• Excellent communication and teamwork abilities.
• Familiarity with machine learning concepts and AI technologies.

Responsabilidades

• Train and improve AI models through data annotation and labeling.
• Review and validate AI-generated content for accuracy and consistency.
• Provide domain expertise in Analytical Chemistry to enhance AI model performance.
• Work on various AI training projects spanning different scientific fields.
• Ensure high-quality data for machine learning applications and contribute to quality assurance processes.

Conocimientos

Data annotation

Analytical skills

Communication

Teamwork

Educación

Bachelor's degree in Analytical Chemistry

Master's degree in Analytical Chemistry

Herramientas

AI frameworks

Data management tools

Descripción del empleo

Rise Data Labs is seeking an experienced AI Training Specialist with a strong Analytical Chemistry background to join our remote-first team. You will annotate and validate data, train AI models, and provide domain insights to improve model accuracy across projects.

Collaborate with cross-functional teams, ensure high-quality training data, and contribute to QA processes in a flexible, globally-distributed environment.