Project Overview:

Join a growing community of professionals advancing the next wave of AI. As an AI Trainer, you’ll play a hands-on role by analyzing and providing feedback on data to improve LLM performance, helping ensure that the next generation of AI technology is accurate and trustworthy.

We are seeking a skilled Cybersecurity & AI Safety Engineer to work as a project consultant in our AI Labor Marketplace. This is not a full-time employment position — you will be engaged as an expert project consultant on a contract basis.

Location: U.S.-based experts only

Engagement: Part-time, project-based expert evaluation work

Work Type: Remote

Project Summary: Support the development of AI safety systems by generating and evaluating realistic industry-specific scenarios related to Sexual Content, Violence, Self-Harm, and Hate. Contributors will apply professional expertise to create nuanced examples, assess edge cases, and provide structured annotations that improve model performance on complex safety classifications.

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).

Responsibilities

• Generate realistic industry-specific scenarios and examples
• Evaluate AI-generated content and model outputs
• Identify nuanced safety, risk, and policy edge cases
• Apply project annotation guidelines and structured metadata
• Document classification decisions and supporting rationale
• Review work for quality, consistency, and realism
• Contribute professional expertise to safety classifier development

Expected Outcomes

• High-quality domain-specific safety examples
• Structured annotations and metadata
• Accurate classification of safety-related content
• Well-documented reasoning for complex or borderline cases
• Consistent adherence to project guidelines and quality standards

Qualifications

• 10–15 years of professional experience in cybersecurity, AI safety, software security, or threat research
• Experience in offensive security, red teaming, vulnerability research, AI/ML systems engineering, or threat modeling
• Representative titles: Senior/Staff Security Engineer, Red Team Lead, Principal Security Researcher, Staff ML Safety Engineer, Application Security Architect
• U.S.-based professional

LinkedIn Data Security and Privacy Notice:

https://legal.linkedin.com/content/dam/legal/Global-Data-Privacy-Notice_LI_TalentCommunity.pdf

• Entry level
• Contract
• Engineering and Information Technology
• Software Development

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