Job Title:
Psychology Subject Matter Expert – AI Training & Content Development
About Innodata:
Innodata (NASDAQ: INOD) is a global leader in data engineering and AI-powered solutions, partnering with 4 of the top 5 global technology companies and serving over 2,000 enterprise clients worldwide. With operations in 13 global locations and a workforce of 5,000+ subject matter experts, we are at the forefront of innovation in machine learning (ML), natural language processing (NLP), and large language model (LLM) training.
By combining deep domain expertise, advanced AI/ML technologies, and secure infrastructure, Innodata is shaping the future of AI systems and making them smarter, safer, and more contextually aware.
About the Role:
We are seeking a Psychology Subject Matter Expert (SME) with exceptional analytical, writing, and research skills to join our AI/LLM training team. You will play a key role in developing, curating, and evaluating psychology-related content to train AI models in psychological concepts, theories, and applied practices.
This role is ideal for psychologists, researchers, educators, and mental health professionals passionate about leveraging their expertise to enhance AI’s understanding of psychology and human behavior.
Key Responsibilities:
Content Development:
* Create high-quality psychology content, including:
* Theoretical explanations of psychological frameworks and concepts.
* Research-based case studies, assessments, and intervention examples.
* Summaries of key psychological theories, studies, and experiments.
* Content across major domains:
* Cognitive Psychology
* Developmental Psychology
* Clinical & Counseling Psychology
* Social Psychology
* Behavioral and Neuropsychology
* Industrial-Organizational Psychology
* Psychometrics and Psychological Testing
Model Evaluation & AI Training:
* Review and refine AI-generated psychology content for accuracy, clarity, and sensitivity.
* Identify and correct conceptual errors, cultural biases, and ethical concerns.
* Design rubrics and evaluation criteria for AI model reasoning in psychological contexts.
Research & Collaboration:
* Collaborate with AI researchers, computational linguists, and engineers to improve AI reasoning in psychology.
* Provide expert input for datasets covering mental health, psychological assessment, and therapy practices.
* Support ethical and culturally sensitive approaches to psychological topics in AI models.
Eligibility Criteria:
* Master’s or PhD in Psychology or a closely related discipline (PhD preferred).
* Strong academic and/or applied experience in one or more areas:
* Clinical, Counseling, or Health Psychology
* Developmental or Educational Psychology
* Cognitive or Behavioral Sciences
* Psychometrics and Research Methods
* Demonstrated expertise in academic writing, research, or content development.
* Ability to synthesize complex theories and present them clearly for diverse audiences.
Preferred Skills:
* Familiarity with AI/ML concepts, NLP, or data annotation (a plus).
* Understanding of mental health ethics, confidentiality, and cultural competence.
* Experience with psychological assessments, surveys, and statistical tools.
Why Join Innodata?
* Help shape how AI models understand human behavior and mental health.
* Work with global teams of researchers, linguists, and engineers.
* Contribute to next-generation AI technologies that promote psychological insights.
* Enjoy a remote-first, flexible work environment and research-driven culture.
Additional Information:
* Candidates must complete an English Language Assessment.
* Mandatory and non-billable step.