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Developmental Psychology; PhD
Job in
San Antonio, Bexar County, Texas, 78201, USA
Listed on 2026-11-01
Listing for:
Remotebridge
Part Time
position Listed on 2026-11-01
Job specializations:
-
Research/Development
Psychology
Job Description & How to Apply Below
Role
Title:
Developmental Psychology (PhD)
Role Type:
Contractor
Location:
Remote
Our team is engaging Psychologists to contribute their expertise to a customer’s project at the intersection of psychology and technology. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
This opportunity is especially suited for contributors who have a background in research or academic work related to child development or developmental psychology, with or without direct clinical experience.
- Evaluate, review, and annotate data sets relevant to child development and developmental psychology for AI system training.
- Provide detailed insights and feedback on the accuracy, cultural appropriateness, and developmental relevance of data and model outputs.
- Contribute expert analysis to scenario development, test cases, and real-world situations involving children’s learning and behavior.
- Collaborate with interdisciplinary teams to inform model improvements and ensure psychological integrity in AI interactions.
- Create or refine guidelines for AI systems to better address linguistic, cognitive, and psychosocial aspects of child development across diverse backgrounds.
- Document findings and recommendations with clarity and depth to support ongoing AI research and development.
- Doctorate (PhD) in Child Development, Developmental Psychology, or closely related field.
- Demonstrated involvement in technology-driven, digital, or AI-focused projects relevant to child development is highly desirable.
- Comfortable working remotely on digital platforms, delivering contributions independently while engaging with a distributed team.
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