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
.png)
Food • Software
Leads AI-driven revenue enablement programs for sales teams, using call, CRM, pipeline, and performance data to identify execution gaps and build workflows that improve rep productivity and behavior. Owns product launch enablement, everboarding, skills development, manager coaching, certifications, and process adoption. Measures impact through adoption, win rate, ACV, pipeline conversion, ramp time, and productivity metrics while partnering with Sales, Product Marketing, RevOps, and senior executives.
Top Skills:
ClaudeGong AiGptNotion Ai
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own the multi-year technical strategy and architecture for Coinbase’s enterprise IAM platform spanning human, AI agent, service, and workload identities. Drive adoption across 700+ systems, establish authentication and authorization standards, lead migrations and build-versus-buy decisions, automate audit and regulatory controls, reduce standing privilege, and mentor senior engineering talent. Partner across Security, Compliance, IT, Infrastructure, and product teams while influencing technical direction without direct authority.
Top Skills:
AWSDistributed SystemsGenerative AiGoIamOauth 2.0OidcSAMLScimWorkload Identity Federation
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.
Top Skills:
Build SystemsCi/CdDeployment OrchestrationObservabilitySlosTest Infrastructure
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
