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
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and evolve Atlassian’s central Micros platform services, improving reliability, observability, deployment, operations, and developer experience at massive scale. Support the transition from AWS to multi-cloud infrastructure involving GCP and Kubernetes. Collaborate with platform and product teams across Australia and India and contribute to major platform engineering initiatives across Core Engineering.
Top Skills:
AWSCloud InfrastructureGCPKubernetesMicroservicesMulti-CloudPlatform-As-A-Service (Paas)
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead a distributed engineering team within Atlassian’s Jira Service Management IT Operations organization. Drive high-quality software delivery, architecture, reliability, and customer-facing product development for large-scale cloud services. Partner with Product and Design on roadmaps and outcomes, remove blockers, establish goals and metrics, and coach engineers and emerging leaders while fostering an inclusive, high-performing culture.
Top Skills:
Agentic WorkflowsAutomated TestingCloud ComputingDistributed SystemsItomItsmJira Service ManagementMicroservicesSaaS
Cloud • Information Technology • Security • Software
Lead complex, cross-functional software engineering initiatives for JumpCloud’s device management platform. Responsibilities include architecture, technical strategy, solution design, development of highly available and performant services, requirements discovery, collaboration with product and UX teams, mentoring engineers, and driving projects across multiple teams. The role requires deep expertise in device management across major operating systems, cloud platforms, distributed systems, microservices, databases, Kubernetes, and CI/CD.
Top Skills:
AndroidApple Push Notification ServiceAWSAzureCi/CdDatabasesDistributed SystemsGCPGithub ActionsGoiOSJavaKubernetesLinuxmacOSMicroservicesSaaSTypescriptWindows
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
