Remote Child Development Psychologist (PhD) AI Data Expert

YO AI Labs; San Jose (CA); Remote; USD 83,000 - 124,000; Part time

Job summary

YO AI Labs seeks a Child Development Psychologist (PhD) for a remote contractor role. You will evaluate and annotate data, analyze developmental scenarios, and provide expert guidance to improve AI systems' accuracy and cultural relevance.

We value advanced academic expertise in child development or developmental psychology and require the ability to work independently with distributed teams, contributing high-quality feedback to interdisciplinary projects.

Qualifications

• PhD in child development or related field.
• Strong data annotation and analysis skills.
• Experience with cross-cultural contexts preferred.

Responsibilities

• Review and annotate datasets related to child development and developmental psychology.
• Evaluate AI-generated content for developmental accuracy and cultural relevance.
• Analyze scenarios and test cases involving children's learning and behavior.
• Collaborate with interdisciplinary teams to provide expert psychological insights.
• Develop and refine guidelines addressing cognitive, linguistic, and psychosocial aspects of child development.
• Document findings, recommendations and evaluations clearly and accurately.
• Contribute to improving AI systems through high-quality expert feedback.

Skills

Child development

Developmental psychology

Data annotation

Scenario analysis

Cross-cultural

Guideline creation

Written communication

Interdisciplinary collaboration

Remote work

Education

PhD in Child Development

PhD in Developmental Psychology

Tools

AI platforms

Data annotation tools

Job description

YO AI Labs seeks a Child Development Psychologist (PhD) for a remote contractor role. You will evaluate and annotate data, analyze developmental scenarios, and provide expert guidance to improve AI systems' accuracy and cultural relevance.

We value advanced academic expertise in child development or developmental psychology and require the ability to work independently with distributed teams, contributing high-quality feedback to interdisciplinary projects.