Remote | AI Safety & Adversarial Testing Specialist — $65–$80/hour

24-Mag • New York, NY

2d • Remote

About The Position

We are sharing a specialised part-time consulting opportunity for experienced AI safety, red-teaming, trust and safety, cybersecurity, investigative research, and scientific-risk professionals with expertise in adversarial evaluation of advanced AI systems. This role supports a frontier AI safety initiative focused on identifying vulnerabilities, unsafe behaviours, policy failures, and robustness gaps through structured adversarial testing. Selected professionals will design challenging prompts, evaluate model behaviour across high-risk and ambiguous scenarios, document findings, and contribute to safety benchmarks used to improve model alignment and reliability.

Requirements

• At least 5 years of professional experience in AI safety, AI red teaming, trust and safety, cybersecurity, investigative journalism, life sciences, public policy, or a related field
• Hands-on experience designing adversarial prompts or evaluating advanced AI systems
• Strong analytical reasoning and the ability to identify subtle safety and policy failures
• Experience working with complex, high-risk, or ambiguous subject matter
• Excellent written communication and the ability to produce clear technical findings
• Ability to work independently while applying structured evaluation standards
• Professional residence in one of the eligible countries listed below
• A bachelor's degree or higher in computer science, cybersecurity, journalism, communications, psychology, biology, chemistry, public policy, or a related discipline is required

Nice To Haves

• Experience with AI red teaming, reinforcement learning from human feedback, supervised fine-tuning, AI alignment, or trust and safety
• Familiarity with jailbreak testing, prompt engineering, model-behaviour analysis, or adversarial evaluation methodologies
• Expertise in cybersecurity, biosecurity, political content, misinformation, fraud, or scientific safety
• Experience developing safety benchmarks, evaluation rubrics, or structured testing frameworks
• Knowledge of responsible disclosure, threat modelling, or vulnerability-severity assessment
• Previous collaboration with AI researchers, policy teams, security engineers, or scientific specialists
• Familiarity with frontier-model safety policies and model-alignment workflows
• Graduate-level education in artificial intelligence, security, behavioural science, life sciences, or policy may be valuable
• Equivalent specialist experience in adversarial testing, safety research, or high-risk investigations may also be considered
• Research publications, safety evaluations, or relevant technical portfolios may strengthen an application

Responsibilities

• Design sophisticated prompts that stress-test advanced AI systems
• Develop realistic scenarios intended to expose model limitations, policy weaknesses, and inconsistent behaviour
• Test direct, indirect, multi-turn, and context-dependent adversarial strategies
• Create evaluations covering both clearly unsafe requests and complex grey-area situations
• Identify jailbreak vulnerabilities, hallucinations, unsafe outputs, and instruction-following failures
• Assess model robustness across misinformation, cybersecurity, biosecurity, fraud, political content, and scientific safety
• Evaluate whether responses appropriately balance safety, usefulness, factual accuracy, and policy adherence
• Distinguish isolated failures from broader or reproducible behavioural patterns
• Document identified vulnerabilities through clear, structured, and reproducible reports
• Explain testing methods, observed behaviours, severity, and potential impact
• Classify failures according to established safety taxonomies and evaluation frameworks
• Contribute findings to red-teaming reports, benchmark datasets, and model-improvement workflows
• Collaborate with AI researchers, safety specialists, and other domain experts
• Participate in calibration exercises to maintain consistent evaluation standards
• Review adversarial tasks and findings developed by other contributors
• Support improvements to testing methodologies, safety rubrics, and vulnerability classifications

Benefits

• Flexible remote work
• Competitive hourly compensation
• Independent contractor role
• Fully remote with flexible scheduling
• Competitive rates between $65–$80 per hour depending on expertise and project scope
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or adjusted depending on scope and performance

What This Job Offers

• Job Type: Part-time
• Career Level: Senior