GenAI Safety Team Lead (AI)

Location: Remote in the USA

Salary: $127K–$140K OTE annually, with the final offer determined by experience.

Company

hirify.global, operating through Alice, provides trust, safety, and security solutions across the AI lifecycle, including model evaluations, pre-deployment red teaming, runtime guardrails, and drift detection.

What you will do

• Lead multidisciplinary teams conducting adversarial testing, risk evaluations, and data-driven analyses for generative AI safety.
• Oversee the production of datasets, reports, and analyses related to AI safety and red teaming.
• Review and approve deliverables against quality, methodological, and ethical standards.
• Design and refine red teaming methodologies and adversarial testing strategies for text, image, and multimodal models.
• Present final outputs and actionable risk insights to clients, attend client meetings, and address methodological questions.
• Represent the red teaming function in cross-departmental collaboration and improve team workflows through structured feedback.

Requirements

• Proven experience in red teaming, AI safety research, or Responsible AI operations.
• Experience managing complex technical or analytical projects and teams.
• 5+ years of professional experience.
• Strong understanding of adversarial testing methods and model evaluation.
• Excellent written and verbal English communication skills.
• Exceptional organization, attention to detail, prioritization, and confidence in client-facing environments.

Nice to have

• Advanced academic or research background in AI, computational social science, or information integrity.
• Publications, white papers, or reports in AI Safety, Responsible AI, or AI Ethics.
• Experience with evaluation frameworks, benchmarking tools, or adversarial datasets for model safety testing.
• Participation in Responsible AI, trust and safety, machine learning security, or related professional and academic communities.
• Experience mentoring researchers and supporting professional development in technical teams.

Culture & Benefits

• Work on trust, safety, and security challenges across the AI lifecycle.
• Collaborate with teams supporting frontier model labs, enterprises, and user-generated content platforms.
• Contribute to safe, transparent, and ethical AI deployment.