Principles Of Humanity Jobs in New York City, NY

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Looking for Principles Of Humanity jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Principles Of Humanity position in the New York City, NY area.

IT Project Manager (Crypto experience, remote, commission based)

Company: The Collective Management Partners

Location: New York, NY

Posted Aug 31, 2025

Your entrepreneurial mindset and technical acumen will be critical in driving innovation and delivering results. A minimum of a Bachelor's degree is required.

Otolaryngologist

Company: Summit Health Medical Group

Location: Clifton, Livingston, and Fair Lawn, New Jersey

Posted Aug 31, 2025

Frequently Asked Questions

What are typical salary ranges by seniority for Principles Of Humanity roles?
Junior (0‑2 years) $80‑110 k; Mid (2‑5 years) $110‑150 k; Senior (5‑10 years) $150‑200 k; Lead/Manager $200‑250 k; Director/VP $250‑350 k. Compensation varies by company size, location, and technical vs managerial focus.
What skills and certifications are required in this field?
Core skills: Python, R, TensorFlow/PyTorch, bias‑detection libraries (AI Fairness 360, Fairlearn), regulatory knowledge of GDPR, CCPA, ISO 27001. Certifications: Certified Ethical Emerging Technologist (CEET), Certified AI Ethics Professional (CAIEP), ISO 27001 Lead Auditor, GDPR Data Protection Officer.
Is remote work available for Principles Of Humanity positions?
Yes. Approximately 70 % of roles allow full‑remote or hybrid arrangements (3 days remote, 2 days on‑site for audit meetings). On‑site presence is mainly needed for compliance‑audit teams or client‑facing governance projects.
What are the career progression paths?
Typical ladder: Associate → Lead → Manager → Director → VP of Responsible AI. Lateral moves to product, compliance, or research tracks are common, with many professionals adding certifications or advanced degrees in ethics or data law.
What industry trends affect Principles Of Humanity careers?
Trends include tightening AI governance frameworks, mandatory explainability requirements, growing demand for fairness metrics in training pipelines, expansion of interdisciplinary ethics boards, and increased funding for AI ethics research in academia and industry.

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