Chemistry Specialist

Agency; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Agency is seeking a highly qualified candidate with a PhD in Chemistry to review and annotate AI-generated content. The role focuses on accuracy in chemical concepts, problem-solving, and terminology, with emphasis on bilingual evaluation in English and Arabic.

Collaboration with teammates will refine prompts and guidelines. Ideal candidates will have demonstrated teaching, research, or applied science experience, strong analytical skills, and meticulous attention to detail.

Qualifications

• PhD in Chemistry or a closely related field.
• Fluency in Arabic; Egyptian Arabic preferred.
• Demonstrated expertise in teaching, research, or applied science.
• Strong analytical ability and attention to detail.

Responsibilities

• Review and annotate AI-generated content for accuracy and clarity.
• Assess responses for chemical concepts, problem-solving, and terminology.
• Identify and document error patterns in both English and Arabic.
• Collaborate with the team to refine prompts, evaluation methods, and domain-specific guidelines.

Skills

Fluency in Arabic (Egyptian Arabic)

Analytical ability

Attention to detail

Education

PhD in Chemistry or closely related field

Teaching, research, or applied science experience

Tools

Linguistic annotation

Translation experience

Job description

Responsibilities

• Review and annotate AI-generated content for accuracy and clarity
• Assess responses for chemical concepts, problem-solving, and terminology
• Identify and document error patterns in both English and Arabic
• Collaborate with the team to refine prompts, evaluation methods, and domain-specific guidelines

Requirements

• PhD in Chemistry or a closely related field
• Fluency in Arabic (Egyptian Arabic preferred)
• Demonstrated expertise in teaching, research, or applied science
• Strong analytical ability and attention to detail

Preferred Qualifications

• Experience in translation or bilingual education
• Experience in linguistic annotation

About the Company

We are working on large-scale language models to evolve them into powerful engines of research, education, and applied problem-solving through high-quality training data.