Design, develop, and maintain intuitive user interfaces for AI-powered web applications while ensuring high performance and accessibility. Collaborate with cross-functional teams to integrate RESTful APIs and translate complex data into actionable product experiences.
Design, build, and maintain robust backend systems and scalable cloud infrastructure using .NET and AWS. Collaborate with cross-functional teams to integrate AI models and ensure high performance, reliability, and security across the platform.
The Senior Manager will own and scale the company's compliance and audit programs, including SOC 1, SOC 2, ISO 27001, and FDA 21 CFR Part 11 certifications. They will partner with engineering and operations teams to automate evidence collection, manage internal audits, and ensure robust AI governance.
The Program Manager will lead the execution of complex AI safety, evaluation, and human data programs by coordinating cross-functional teams and managing end-to-end delivery. They will act as the connective tissue between technical, clinical, and operational teams to ensure high-quality, auditable, and scalable project outcomes.
The Community Manager will build and foster an engaged network of contract experts while managing day-to-day operations, staffing, and onboarding logistics. They will also maintain operational data, track project hours, and create programs to improve contractor retention and experience.
The Recruiter will own the full-cycle recruiting process, managing searches from intake through offer while partnering closely with hiring managers. They will also focus on building candidate pipelines, maintaining ATS hygiene, and improving recruiting processes as the organization scales.
The role involves roleplaying clinical scenarios with AI agents to test safety, identify behavioral edge cases, and provide expert feedback on mental health policy. Experts will also develop psychometrics, rubrics, and behavioral taxonomies while collaborating with engineers and researchers.
The role involves designing and testing AI chat scenarios by roleplaying clinical interactions to ensure cultural authenticity and safety. Experts will also collaborate with researchers to develop behavioral taxonomies, rubrics, and mental health policies for large language models.
The Program Manager will lead end-to-end delivery of complex AI safety and human data operations, managing cross-functional teams and customer engagements. They are responsible for establishing project plans, ensuring quality standards, and acting as the primary point of contact for stakeholders.
The Technical Product Manager will own the end-to-end delivery of platform features, from initial requirements and scoping to launch and feedback. They will act as the connective tissue between engineering, research, sales, and delivery teams to ensure alignment on product vision and quality standards.
The role involves collaborating on AI safety initiatives by roleplaying clinical scenarios, identifying behavioral edge cases, and providing expert feedback on mental health policy. You will also design testing scenarios, conduct qualitative analysis, and develop behavioral taxonomies to ensure accurate AI responses to psychological distress.
The IT Specialist will provide day-to-day technical support, manage company hardware and SaaS applications, and administer user access. They will also assist with security compliance initiatives, specifically focusing on SOC 2 evidence collection and endpoint security.
Design and evaluate clinically realistic tasks to benchmark multimodal AI systems in the radiology domain. Provide expert reference answers and detailed feedback to improve AI diagnostic reasoning and instruction-following.
Evaluate and improve AI models supporting clinical operations and administrative workflows to ensure accuracy and practical application. Review real-world healthcare scenarios and provide expert feedback on AI-generated responses regarding EHRs and regulatory standards.
Evaluate AI-generated prior authorization recommendations and specialty medication requests for accuracy and alignment with payer requirements. Provide actionable feedback to improve AI performance on complex pharmacy authorization workflows.
Design realistic clinical scenarios and evaluate AI-generated responses to ensure clinical accuracy and safety. Provide actionable feedback to improve the reliability and trustworthiness of healthcare AI models.
Design expert-level cybersecurity prompts and evaluate AI-generated responses for technical accuracy and safety. Provide actionable feedback to improve the reliability and security of frontier AI systems.
Design clinically realistic psychiatric scenarios and prompts to test and improve the reasoning of large language models. Evaluate AI-generated responses for accuracy and safety while providing structured feedback to researchers.
