Top 2246 Multimodal Technologies Jobs

Safeguards Enforcement Analyst, Cyber Harm
Anthropic —Remote
- $285,000 - $330,000 a year
- Weekends as needed
- Hybrid work
- Mid-level
- Office
- SQL
- Parental leave
- Flexible schedule
8d
Safeguards Enforcement Analyst, Radiological & Nuclear Harms
Anthropic —Remote
- $245,000 - $285,000 a year
- On call
- Hybrid work
- Writing skills
- Research
- Office
- Parental leave
- Flexible schedule
8d
Safeguards Enforcement Analyst, Chem & Explosives Harms
Anthropic —Remote
- $245,000 - $285,000 a year
- On call
- Hybrid work
- Writing skills
- Research
- Office
- Parental leave
- Flexible schedule
8d
Safeguards Enforcement Analyst, Integrity & Authenticity
Anthropic —Remote
- $285,000 - $330,000 a year
- Weekends as needed
- Hybrid work
- Research
- Mid-level
- Office
- Parental leave
- Flexible schedule
8d
Safeguards Enforcement Analyst, Bio Harms
Anthropic —Remote
- $245,000 - $285,000 a year
- On call
- Hybrid work
- Writing skills
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- Office
- Parental leave
- Flexible schedule
8d
Safeguards Enforcement Analyst, Safety Evaluations
Anthropic —Remote
- $230,000 - $270,000 a year
- Hybrid work
- Mid-level
- Office
- SQL
- Parental leave
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Security Engineer, Detection & Response
Anthropic —San Francisco, CA
- $300,000 - $405,000 a year
- On call
- Hybrid work
- 5 years
- Mid-level
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- Parental leave
- Flexible schedule
Threat Intel Manager, CBRN-E & Advanced Weapons
Anthropic —San Francisco, CA
- $375,000 - $455,000 a year
- Weekends as needed
- Hybrid work
- Office
- Analysis skills
- Bachelor's degree
- Parental leave
- Flexible schedule
11d
Technical CBRN-E Threat Investigator
Anthropic —Remote
- $230,000 - $290,000 a year
- Weekends as needed
- Hybrid work
- Office
- SQL
- Bachelor's degree
- Parental leave
- Flexible schedule
Content Creator (Flexible Gig)
HumanSignal —Remote
- Up to $80 an hour
- Contract
- No experience needed
- Smartphone
- Entry level
- Flexible schedule
Threat Intel Manager, Influence Operations & Surveillance
Anthropic —San Francisco, CA
- $375,000 - $455,000 a year
- Weekends as needed
- Hybrid work
- Management
- Office
- SQL
- Parental leave
- Flexible schedule
11d
Safeguards Enforcement Analyst, Child Safety
Anthropic —Remote
- $245,000 - $285,000 a year
- Hybrid work
- Mid-level
- Office
- SQL
- Parental leave
- Flexible schedule
8d
Incident Response Manager, Enforcement
Anthropic —San Francisco, CA
- $310,000 - $375,000 a year
- Weekends as needed
- Hybrid work
- Writing skills
- Office
- SQL
- Parental leave
- Flexible schedule
Geophysicist III
ENSCO, Inc. —Chantilly, VA
- $73,923.20 - $131,331.20 a year
- Full-time
- Background check
- Computer science
- Computer Science
Quick Apply
Registered Veterinary Technician, Anesthesia
Ethos Veterinary Health —Boulder, CO
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- Multiple hires
- Mid-level
- Medical terminology
- 2 years
- Continuing education credits
- Health savings account
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Staff Geophysicist
ENSCO, Inc. —Chantilly, VA
- $110,448.00 - $200,137.60 a year
- Full-time
- Background check
- Computer science
- 7 years
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Director, Mental Health
Foundation for the NIH —North Bethesda, MD
- $185,000 - $225,000 a year
- Full-time
- Hybrid work
- Medicine
- Psychiatry
- Office
6d
Enterprise AI Architect
T. Rowe Price —Baltimore, MD
- $174,000 - $350,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Databases
- Paid time off
- Adoption assistance
Class A Driver- Regional
Terminal Consolidation Company —Kansas City, MO
- $28.50 an hour
- Online Application
- Background check
- Hazmat Endorsement
- DOT physical examination
- Health savings account
- AD&D insurance
Quick Apply
Embodied AI Researcher (R&D Lab)
LG Electronics —Santa Clara, CA
- $150,000 - $210,000 a year
- Full-time
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Children
- Paid parental leave
- Paid holidays
Quick Apply

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Safeguards Enforcement Analyst, Cyber Harm

Anthropic -
Remote

Apply Now

Job Details

$285,000 - $330,000 a year
8 days ago

Benefits

Parental leave
Flexible schedule

Qualifications

AI models
Cybersecurity threat analysis
AI tools proficiency
Generative models
Prompt engineering
Cybersecurity investigations
Threat intelligence
Content review
Generative AI

Full Job Description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement.

Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.

Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Key responsibilities

Review flagged content and accounts to make accurate, well-documented enforcement decisions in line with our usage policies
Detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Triage and escalate novel, ambiguous, or high-severity cases to appropriate stakeholders
Provide detailed feedback to the Safeguards policy design team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams by surfacing detection model errors and quality signals from review to improve precision and recall
Maintain high accuracy and consistency standards across review queues
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions

Minimum Qualifications

Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement

Preferred qualifications

Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
Experience with large language models and an understanding of how AI technology could be misused for cyber operations
Experience operating within abuse monitoring programs or enforcement review systems
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Experience working with government agencies, regulated environments, or information sharing communities

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$285,000 - $330,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

Multimodal Technologies jobs

Safeguards Enforcement Analyst, Cyber Harm

Safeguards Enforcement Analyst, Radiological & Nuclear Harms

Safeguards Enforcement Analyst, Chem & Explosives Harms

Safeguards Enforcement Analyst, Integrity & Authenticity

Safeguards Enforcement Analyst, Bio Harms

Safeguards Enforcement Analyst, Safety Evaluations

Security Engineer, Detection & Response

Threat Intel Manager, CBRN-E & Advanced Weapons

Technical CBRN-E Threat Investigator

Content Creator (Flexible Gig)

Threat Intel Manager, Influence Operations & Surveillance

Safeguards Enforcement Analyst, Child Safety

Incident Response Manager, Enforcement

Geophysicist III

Registered Veterinary Technician, Anesthesia

Staff Geophysicist

Director, Mental Health

Enterprise AI Architect

Class A Driver- Regional

Embodied AI Researcher (R&D Lab)

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