Remote Developmental Psychology Consultant — AI Evaluation

YO AI Labs; United States; Remote; USD 83,000 - 138,000; Part time

Job summary

YO AI Labs is seeking Developmental Psychology experts with a PhD to support a remote, project-based evaluation of AI systems, focusing on children’s learning, behavior, and cognition. The role emphasizes reviewing AI-generated content and providing expert feedback on developmental accuracy and cultural relevance.

No prior AI experience is required. The engagement offers a flexible schedule and a strong emphasis on precise data annotation, reporting, and methodologically sound recommendations

Qualifications

• PhD in Developmental Psychology or closely related field.
• Strong academic or research background in child development or developmental psychology.
• Experience with research, data evaluation, or technology-related projects preferred.

Responsibilities

• Review and annotate data related to child development and developmental psychology.
• Evaluate AI outputs for developmental accuracy, relevance, and cultural appropriateness.
• Develop and assess scenarios involving children's learning, behavior, and development.
• Provide expert feedback to support AI model improvement.
• Contribute to guidelines addressing cognitive, linguistic, and psychosocial aspects of child development.
• Document findings, recommendations, and evaluation results clearly.

Skills

Child Development

Developmental Psychology

Research & Analysis

Data Evaluation

Critical Thinking

Written Communication

Attention to Detail

Education

PhD in Developmental Psychology

Job description

YO AI Labs is seeking Developmental Psychology experts with a PhD to support a remote, project-based evaluation of AI systems, focusing on children’s learning, behavior, and cognition. The role emphasizes reviewing AI-generated content and providing expert feedback on developmental accuracy and cultural relevance.

No prior AI experience is required. The engagement offers a flexible schedule and a strong emphasis on precise data annotation, reporting, and methodologically sound recommendations