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Job Description

Evaluate threat models, cloud identity architecture, container and Kubernetes security, detection strategy, and secure remediation plans. Review AI-generated designs for privilege boundaries, trust assumptions, attack paths, observability, and resilience across modern cloud environments. Identify insecure defaults, incomplete controls, unrealistic mitigations, and recommendations that create operational or availability risk. Write technically precise corrections grounded in production AWS, Azure, GCP, and cloud-native security practice. Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.

Why Apply

• Expert-level compensationEarn $165 - $250/hr for work that values your professional judgment.
• Flexible remote workContribute asynchronously around your existing professional commitments.
• Meaningful model impactHelp advanced AI systems reason more accurately in technology & computing.
• Focused projectsAccept only the opportunities that fit your experience and availability.

Responsibilities

• Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
• Apply current standards, methods, and risk considerations from technology & computing.
• Document errors, edge cases, and the reasoning behind an ideal response.
• Collaborate asynchronously with Alpheva's research and evaluation teams.

Required Qualifications

• 8+ years in cloud, product, application, or infrastructure security
• Production expertise in AWS, Azure, or GCP security architecture and identity controls
• Experience leading threat modeling, incident response, or security design reviews

Company Description

Alpheva AI builds the expert data, evaluations, and real-world environments that help frontier AI systems become more capable and reliable. We partner with experienced professionals whose judgment can teach models how high-quality work is actually done.