Radiochemistry AI Training & Data Quality Specialist

MERIT Beauty; New York (NY); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Opportunities for professional development

Chance to work on cutting-edge AI projects

Job summary

MERIT Beauty is looking for a Radiochemistry/Nuclear Chemistry AI Training Specialist to lead the training of AI models in radiochemistry domains. You will be responsible for annotating data, validating AI outputs, and collaborating on projects that enhance AI performance. A Bachelor's or Master's degree in a relevant field and experience with data annotation or machine learning are required. Join us for a chance to impact cutting-edge AI technologies while enjoying a dynamic work environment with competitive compensation.

Qualifications

• Bachelor's or Master's degree in Radiochemistry, Nuclear Chemistry, Chemistry, or a related field.
• Proven experience in data annotation, AI training, or machine learning.
• Strong attention to detail and a commitment to quality assurance in data handling.

Responsibilities

• Train AI models by annotating and labeling data related to radiochemistry and nuclear chemistry.
• Review and validate AI-generated content for accuracy.
• Provide expert insights and recommendations to enhance AI model performance.

Skills

Data annotation

Machine learning

Attention to detail

Analytical skills

Education

Bachelor's or Master's degree in Radiochemistry, Nuclear Chemistry, Chemistry, or related field

Tools

Data annotation tools

Job description

MERIT Beauty is looking for a Radiochemistry/Nuclear Chemistry AI Training Specialist to lead the training of AI models in radiochemistry domains. You will be responsible for annotating data, validating AI outputs, and collaborating on projects that enhance AI performance. A Bachelor's or Master's degree in a relevant field and experience with data annotation or machine learning are required. Join us for a chance to impact cutting-edge AI technologies while enjoying a dynamic work environment with competitive compensation.