Required Skills

cybersecurity

pentesting

red-teaming

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: InfoSec Expert

Role Type: Contractor

Location: Remote

micro1 is engaging InfoSec Experts to contribute to a high-impact project for one of our customers in the enterprise SaaS space. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Design and define comprehensive red-teaming workflows and adversarial scenarios targeting SaaS and cloud-based environments.
Conduct hands-on penetration testing and adversarial threat modeling across platforms such as Microsoft 365, Google Workspace, Slack, GitHub, and Snowflake.
Act as a senior reviewer, critically evaluating the quality and depth of red-teaming exercises and deliverables.
Identify and document potential vectors for misuse or manipulation of AI agents, including prompt injection, privilege escalation, data exfiltration, and destructive actions.
Contribute practical insights for developing and vetting security controls, policies, and detection strategies relevant to real-world SaaS environments.
Collaborate with other cybersecurity professionals, providing detailed written and verbal feedback on findings and improvements.
Support benchmarking initiatives by creating adversarial scenarios that reflect contemporary threats and attack methodologies.

Preferred Qualifications

Extensive hands-on experience in security domains such as red teaming, penetration testing, application/cloud security, or security engineering.
Deep understanding of enterprise SaaS security concepts including identity, RBAC/permissions, and data governance.
Direct familiarity with Microsoft 365, Google Workspace, Slack, GitHub, and Snowflake from a security evaluation perspective.
Demonstrated ability to think adversarially about how AI and SaaS platforms could be exploited or compromised.
Strong written and verbal communication skills, enabling clear articulation of complex security issues and recommended remediations.
Proven track record of practical, real-world impact in security projects—beyond simply listing experience on a resume.
Bonus: Prior experience in AI/LLM security or adversarial testing of agent-based systems.

Job Overview

Offered Salary

Career Level

Industry
Administrative & Support

Experience

Qualification