Cybersecurity & AI Safety AI Trainer, $140–$160/hour

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 onlyEngagement: Part-time, project-based expert evaluation workWork Type: RemoteProject 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).

ResponsibilitiesGenerate realistic industry-specific scenarios and examplesEvaluate AI-generated content and model outputsIdentify nuanced safety, risk, and policy edge casesApply project annotation guidelines and structured metadataDocument classification decisions and supporting rationaleReview work for quality, consistency, and realismContribute professional expertise to safety classifier developmentExpected OutcomesHigh-quality domain-specific safety examplesStructured annotations and metadataAccurate classification of safety-related contentWell-documented reasoning for complex or borderline casesConsistent adherence to project guidelines and quality standardsQualifications10–15 years of professional experience in cybersecurity, AI safety, software security, or threat researchExperience in offensive security, red teaming, vulnerability research, AI/ML systems engineering, or threat modelingRepresentative titles: Senior/Staff Security Engineer, Red Team Lead, Principal Security Researcher, Staff ML Safety Engineer, Application Security ArchitectU.

S.-based professionalLinkedIn Data Security and Privacy Notice:https://legal.linkedin.com/content/dam/legal/Global-Data-Privacy-Notice_LI_TalentCommunity.pdf