
11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
Artificial Intelligence • API • SaaS
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
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11 - 50 employees
Founded 2021
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
Artificial Intelligence • API • SaaS
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
• Design realistic, expert-level cybersecurity prompts spanning areas such as application security, network security, cloud infrastructure, vulnerability management, and secure software development. • Evaluate AI-generated responses for technical accuracy, completeness, and practical usefulness. • Assess how models handle sensitive and dual-use cybersecurity scenarios, ensuring responses are responsible and aligned with project guidelines. • Apply structured evaluation rubrics to annotate prompts and model outputs with consistency and precision. • Provide clear, actionable feedback that helps improve the performance, safety, and reliability of frontier AI systems.
• Bachelor's or Master's degree in Computer Science, Cybersecurity, or a closely related technical field. • 5+ years of professional software engineering experience at a high-growth startup or established technology company. • Deep knowledge of cybersecurity principles, modern software systems, and secure development practices. • Excellent technical reasoning and strong written communication skills in English. • Sound judgment when working with sensitive or dual-use security topics. • The ability to apply detailed guidelines while maintaining high-quality, consistent evaluations. • Nice to have: Experience in offensive security, penetration testing, vulnerability research, security engineering, or a related discipline. • Previous experience evaluating, reviewing, benchmarking, or red-teaming technical or AI-generated content. • Familiarity with AI evaluation, model assessment, or human-in-the-loop data annotation workflows.
• Contract, project-based position.
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