Provide clinical expertise to improve AI mental-health tools: annotate clinical interactions, evaluate psychotherapy datasets, design psychological testing scenarios, apply CBT frameworks, collaborate with engineers, ensure ethical standards, and drive research-backed AI improvements.
This role is for one of our clients
Job Title: Psychologist (Ph.D/Psy.D)
Job Type: Part-time or Full-time, contract
Location: Remote
As a Psychology Expert and help shape the future of mental health technology. In this pioneering role, you will leverage your clinical expertise and research acumen to improve AI systems through nuanced understanding of human psychology. Collaborate with cross-disciplinary teams to ensure AI-driven tools are accurate, empathetic, and aligned with best practices.
Requirements
Key Responsibilities:
- Analyze and annotate clinical interactions for AI training and evaluation
- Provide expert feedback on psychotherapy and clinical assessment datasets
- Develop and refine scenarios for psychological testing in AI models
- Collaborate with engineers and researchers to enhance AI’s clinical reasoning
- Apply cognitive behavioral therapy frameworks to guide AI responses
- Ensure compliance with ethical standards and psychological best practices
- Support continuous improvement of AI through research-backed methodologies
Required Skills and Qualifications:
- Doctorate (PhD or PsyD) in Psychology
- Exceptional written and verbal communication skills, with a passion for clear, compassionate articulation
- Strong attention to detail and a commitment to data integrity
- Ability to work independently in a remote, fast-paced environment
- Deep understanding of best practices in psychological care
- Bilingual Proficiency: Must possess business-level fluency in English plus at least one additional language from the following list: Portuguese, German, Japanese, Persian (Farsi), Polish, Korean, Dutch, Russian, Turkish, French, Arabic, Italian, Indonesian, or Chinese (Mandarin & Cantonese).
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead regional procurement and supplier management: negotiate contracts, own procurement processes, drive supplier performance, implement cost-savings and process improvements, support capital budgeting and site audits, and apply AI-enabled strategies in procurement.
Top Skills:
AI
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead a team to design, develop, test, deploy, maintain and improve large-scale software solutions. Drive best engineering and DevOps practices, collaborate cross-functionally, and troubleshoot performance and reliability for cloud-based applications.
Top Skills:
AngularAnsibleApplication ObservabilityAWSContainerizationContinuous DeliveryContinuous IntegrationGitGitGithub ActionsGradleIacJ2EeJavaJenkinsJunitMavenMessaging/Stream ArchitectureNode.jsOraclePl/SqlReactRest ApiServerlessSQL ServerSvnTerraformWeb Services
Financial Services
Design, prototype, and deploy production-ready machine learning and generative AI solutions and agentic workflows. Own end-to-end model delivery, data and feature engineering, evaluation, deployment, monitoring, retraining, and governance. Collaborate with product, engineering, and risk stakeholders and contribute reusable patterns and services to accelerate adoption and ensure responsible AI practices.
Top Skills:
Amazon Web ServicesGoogle Cloud PlatformGraph Machine LearningKnowledge GraphsKubernetesLarge Language ModelsAzurePythonPyTorchRetrieval-Augmented GenerationScikit-LearnTensorFlow
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
