Evaluate and strengthen AI model behavior on cybersecurity topics by writing expert prompts, annotating and grading model responses for accuracy and safety, and applying structured guidelines to classify sensitive content. Work part-time on AI safety tasks with emphasis on secure, responsible handling of dual-use information.
This role is for one of our clients
Compensation: $60-$90 per hour
We're hiring cybersecurity‑focused software engineers to help make advanced AI models safer. You'll apply your security and engineering expertise to evaluate and strengthen how these models handle specialized cybersecurity topics. No prior AI/ML experience is required — we'll train you on the workflow.
Requirements
What you'll do
- Write expert‑level prompts across specialized cybersecurity topics.
- Evaluate and annotate model responses for technical accuracy, helpfulness, and appropriate handling of sensitive content.
- Apply structured guidelines to classify prompts and conversations.
What we're looking for
- One of the following:
- A BS or MS in Computer Science or a closely related field, or
- 5+ years of professional software engineering experience at a reputable tech company or startup.
- Strong understanding of cybersecurity concepts and modern software systems.
- Strong technical reasoning and writing in English.
- Sound judgment around security and the responsible handling of dual‑use information.
Nice to have
- Background in offensive security, penetration testing, vulnerability research, or related areas.
- Experience reviewing, grading, or red‑teaming technical content.
Project Timeline
- Start date: Immediate
- Commitment: Part‑time (15–25 hours/week, with flexibility up to 40 hours/week)
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a regional presales Solution Consulting team supporting customer discovery, presentations, demonstrations, proofs of concept, value articulation, and solution commitment. Responsibilities include coaching and developing consultants, recruiting, resource allocation, sales opportunity prioritization, training, performance evaluation, demand-generation support, and daily operational management. The role requires strong presales leadership, Japanese market expertise, SaaS and PaaS knowledge, solution selling experience, and familiarity with AI-enabled workflows.
Top Skills:
AICloudPaasSaaSServicenow Ai Platform
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate Property and Casualty coverage, and convert prospects into policyholders. Complete paid training and licensing, maintain strong customer relationships, meet sales goals, and work a rotating schedule of four weekdays and one weekend day in a remote environment.
Top Skills:
PcWired High-Speed Internet
Software • Analytics • Hospitality
Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.
Top Skills:
AWSData ModelingData VisualizationHubspotMarketing AutomationSalesforceSpreadsheetsSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
