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
Information Technology
Owns the technical customer relationship for public cloud environments, advising on AWS, Azure, and GCP best practices. Conducts cloud architecture reviews, governance sessions, ticket reviews, and spend optimization discussions. Acts as a customer advocate, escalation point, and liaison with internal teams. Provides product guidance, billing support, technology education, and strategic recommendations while maintaining executive-level customer relationships.
Top Skills:
AWSAzureCloud Management PlatformsDevOpsGCPPublic Cloud ComputingWell-Architected Framework
Information Technology
Leads a customer engagement and technical account management team supporting managed-services customers. Oversees team performance, capacity, escalations, customer meetings, service-level outcomes, training, recruiting, workflows, and quality control. Partners across internal teams to improve customer satisfaction and resolve service tickets. Requires customer escalation expertise, public cloud knowledge, KPI-driven process improvement, and strong people leadership.
Top Skills:
Ai ToolsPublic Cloud Infrastructure Services
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
The Director I, Data Science will design and evaluate generative AI and agentic systems, develop semantic layers and knowledge graphs, and build frameworks assessing AI performance, reliability, and safety. The role collaborates with data and engineering teams, leads cross-functional initiatives, promotes best practices across the data science community, advises on complex projects, and communicates technical insights to business stakeholders. This is a hands-on individual contributor position.
Top Skills:
Agentic SystemsData ScienceGenerative AiKnowledge GraphsMachine LearningMlopsPredictive AnalyticsSemantic Layers
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
