ai security analyst

Alignerr

<div>
 
 About The Job
 
 
 
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 
 
 We&rsquo;re focused on the security of AI systems themselves, examining how modern models can be attacked, misused, or pushed beyond their intended boundaries. You will work with realistic scenarios to help ensure AI systems remain safe, reliable, and aligned with security best practices.
 
 
 
 Organization
 
 : Alignerr
 
 Position
 
 : AI / Emerging Tech Security Analyst
 
 Type
 
 : Contract / Task-Based
 
 Compensation
 
 : $40&ndash;$60 /hour
 
 Location
 
 : Remote
 
 Commitment
 
 : 10&ndash;40 hours/week
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions
 </li>
 <li>
 Review prompt injection, data leakage, model abuse, and system misuse cases
 </li>
 <li>
 Classify security issues and appropriate mitigations based on real-world impact and likelihood
 </li>
 <li>
 Help evaluate and improve AI system behavior so it remains safe, reliable, and aligned with security best practices
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Background in security with a strong interest in how AI systems are built and deployed
 </li>
 <li>
 Understanding of modern security threat modeling applied to emerging AI technologies
 </li>
 <li>
 Curious, analytical, and precise when evaluating complex systems and potential risks
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Work directly on frontier AI systems.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10&ndash;15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

AI / Emerging Tech Security Analyst

Uber

<div>About the Role
 
 
As AI systems-especially agentic and autonomous AI-become deeply embedded in our products and internal platforms, the security model must evolve. Traditional application security alone is no longer sufficient. We are looking for an AI Red Team Engineer to help us proactively identify, understand, and mitigate AI-native and agent-specific security risks before they reach production.
 
 
In this role, you will build and execute adversarial red-teaming exercises against AI models and AI agents, focusing on how they can be manipulated into unsafe, unintended, or harmful behavior. You will work closely with AI platform teams, product engineers, and security partners to stress-test agent logic, tool usage, memory, and autonomy-and translate findings into concrete guardrails and defenses.
 
 
This role is ideal for someone who enjoys thinking like an attacker, understands modern AI systems, and wants to work at the intersection of security, AI, and real-world impact.
- What the Candidate Will Do -
 
 
This role sits at the intersection of offensive security and AI engineering. You will not be limited to traditional penetration testing; instead, you will focus on behavioral, logical, and contextual attacks that cause AI systems to fail in subtle but dangerous ways-often without exploiting classic vulnerabilities. Success in this role means uncovering unknown unknowns,&quot; clearly articulating risk, and helping teams build safer AI systems by design.
 
 
Design and execute AI red-teaming exercises against LLMs and AI agents, including:
 
<ul><li>prompt injection (direct &amp; indirect)
</li><li>jailbreaking and policy bypass
</li><li>model and tool poisoning
</li><li>memory and context poisoning
</li><li>behavioral drift and unsafe autonomy
</li><li>tool misuse and emergent privilege escalation
</li></ul> 
Analyze agent workflows, logic, and tool graphs to identify systemic security weaknesses beyond prompt-level attacks.
 
 
Develop reusable adversarial test cases, attack libraries, and red-team playbooks for AI systems.
 
 
Collaborate with AI platform and product teams to translate red-team findings into actionable mitigations, guardrails, and design changes.
- Basic Qualifications - 
 
 
<ul><li>3+ years of experience in security engineering, offensive security, red teaming, or AI security.
</li><li>Hands-on experience red-teaming AI models or AI agents, including testing for prompt injection, jailbreaks, unsafe behavior, Excessive agency, Model DoS.
</li><li>Strong understanding of security fundamentals (threat modeling, secure design, least privilege, defense in depth).
</li><li>Ability to clearly document findings and communicate risk to both technical and non-technical stakeholders
</li><li>Proficiency in at least one programming language (e.g., Python, Go, Java, or similar)
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>Familiarity with AI security tools and frameworks (e.g., PyRIT, AgentDojo, Promptfoo, custom harnesses).
</li><li>Good understanding of GenAI and LLM architectures, including: embeddings, RAG, or agent frameworks.
</li><li>Hands-on experience executing AI Red Teaming exercises, including prompt injection/jailbreaking, unsafe behavior/behavioral drift, model/tool poisoning.
</li>Offensive security / penetration testing background (e.g., red team, bug bounty, exploit development). 
<li>
</li></ul> 
 
 
 
For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Security Engineer (AI & Agentic Systems)

Google

<div>
 In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
 
 
 <ul>
 <li>
 Health, dental, vision, life, disability insurance
 </li>
 <li>
 Retirement Benefits: 401(k) with company match
 </li>
 <li>
 Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
 </li>
 <li>
 Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
 </li>
 <li>
 Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
 </li>
 <li>
 Baby Bonding Leave: 18 weeks
 </li>
 <li>
 Holidays: 13 paid days per year
 
 
 </li>
 </ul>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Seattle, WA, USA; Washington D.C., DC, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
 </li>
 <li>
 Experience with SQL.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
 </li>
 <li>
 5 years of relevant work experience in data analysis.
 </li>
 <li>
 Experience in security threats or abuse detection.
 </li>
 <li>
 Knowledge or experience in any one of the domains, such as anomaly detection, security threats analysis and investigation, time-series analysis, Cloud APIs, or metrics and reporting.
 </li>
 <li>
 Understanding of generative AI technologies, Large Language Models (LLMs) and AI agents.
 </li>
 <li>
 Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
 
 
 The Trust and Safety Cloud AI team is the vanguard of Cloud AI security and safety. Our mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. We operate at the critical intersection of AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. By pioneering proactive threat detection and robust mitigation strategies, we empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely.
 
 
 At Google we work hard to earn our users&rsquo; trust every day. Trust &amp; Safety is Google&rsquo;s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google&rsquo;s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
 
 
 The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Monitor Google Cloud AI products for signs of abuse, including prompt injection, jailbreaking, data poisoning, distillation, and generation of policy-violating content.
 </li>
 <li>
 Perform in-depth analysis of risks associated with both generative and agentic AI. Measure these risks using benchmarking, evaluations, red teaming, and scaled usage monitoring.
 </li>
 <li>
 Develop, tune, and deploy rules, heuristics, and rate limits to proactively block abusive actors and mitigate automated attacks
 </li>
 <li>
 Effectively collaborate with engineering, product, and legal teams to ensure that the risks of AI are understood and robust solutions are adopted.
 </li>
 <li>
 Educate cross-functional teams about Gen AI safety risks and advocate for secure design principles. Promote a culture of safety and user trust throughout the product development process.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Engineering Analyst, Cloud AI Abuse

YO IT CONSULTING

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Fluent Language Skills Required: English &amp; Spanish. Native-level fluency in English and Spanish is required for this position.
Role:
We believe the safest AI is the one that&rsquo;s already been attacked &mdash; by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.
This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.
What You&rsquo;ll Do
<ul><li>Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
</li><li>Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
</li><li>Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
</li><li>Document reproducibly: produce reports, datasets, and attack cases customers can act on
</li></ul>Who You Are
<ul><li>You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
</li><li>You&rsquo;re curious and adversarial: you instinctively push systems to breaking points
</li><li>You&rsquo;re structured: you use frameworks or benchmarks, not just random hacks
</li><li>You&rsquo;re communicative: you explain risks clearly to technical and non-technical stakeholders
</li><li>You&rsquo;re adaptable: thrive on moving across projects and customers
</li></ul>Nice-to-Have Specialties
<ul><li>Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
</li><li>Cybersecurity: penetration testing, exploit development, reverse engineering
</li><li>Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
</li><li>Creative probing: psychology, acting, writing for unconventional adversarial thinking
</li></ul>What Success Looks Like
<ul><li>You uncover vulnerabilities automated tests miss
</li><li>You deliver reproducible artifacts that strengthen customer AI systems
</li><li>Evaluation coverage expands: more scenarios tested, fewer surprises in production
</li></ul><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div>

Spanish Ai Trainer - Remote

<div>Location: Remote
Type: Full-time or Part-time Contract Work
Fluent Language Skills Required: English &amp; Italian. Native-level fluency in English and Italian is required for this position.
Why This Role Exists
We believe the safest AI is the one that&rsquo;s already been attacked , by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.
This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.
What You&rsquo;ll Do
<ul><li>Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
</li><li>Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
</li><li>Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
</li><li>Document reproducibly: produce reports, datasets, and attack cases customers can act on
</li></ul>Who You Are
<ul><li>You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
</li><li>You&rsquo;re curious and adversarial: you instinctively push systems to breaking points
</li><li>You&rsquo;re structured: you use frameworks or benchmarks, not just random hacks
</li><li>You&rsquo;re communicative: you explain risks clearly to technical and non-technical stakeholders
</li><li>You&rsquo;re adaptable: thrive on moving across projects and customers
</li></ul>Nice-to-Have Specialties
<ul><li>Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
</li><li>Cybersecurity: penetration testing, exploit development, reverse engineering
</li><li>Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
</li><li>Creative probing: psychology, acting, writing for unconventional adversarial thinking
</li></ul>What Success Looks Like
<ul><li>You uncover vulnerabilities automated tests miss
</li><li>You deliver reproducible artifacts that strengthen customer AI systems
</li><li>Evaluation coverage expands: more scenarios tested, fewer surprises in production</li></ul></div>

Italian Ai Trainer - Remote

<div>Work Mode: Remote 
Engagement Type: Independent Contractor 
Schedule: Full-Time or Part-Time Contract
Role Exists
We believe the safest AI is the one that&rsquo;s already been attacked &mdash; by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.
This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.
What You&rsquo;ll Do
<ul><li>Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
</li><li>Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
</li><li>Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
</li><li>Document reproducibly: produce reports, datasets, and attack cases customers can act on
</li></ul>Who You Are
<ul><li>You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
</li><li>You&rsquo;re curious and adversarial: you instinctively push systems to breaking points
</li><li>You&rsquo;re structured: you use frameworks or benchmarks, not just random hacks
</li><li>You&rsquo;re communicative: you explain risks clearly to technical and non-technical stakeholders
</li><li>You&rsquo;re adaptable: thrive on moving across projects and customers
</li></ul>Nice-to-Have Specialties
<ul><li>Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
</li><li>Cybersecurity: penetration testing, exploit development, reverse engineering
</li><li>Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
</li><li>Creative probing: psychology, acting, writing for unconventional adversarial thinking
</li></ul>What Success Looks Like
<ul><li>You uncover vulnerabilities automated tests miss
</li><li>You deliver reproducible artifacts that strengthen customer AI systems
</li><li>Evaluation coverage expands: more scenarios tested, fewer surprises in production
</li></ul><h2 class="jobSectionHeader">Contract and Payment Terms</h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div>

French & English AI Red-Teamer - Remote

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10000 ai security analyst jobs Near Me

AI / Emerging Tech Security Analyst

AI / Emerging Tech Security Analyst

Security Engineer (AI & Agentic Systems)

Engineering Analyst, Cloud AI Abuse

Spanish Ai Trainer - Remote

Italian Ai Trainer - Remote

French & English AI Red-Teamer - Remote