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)
Logistics • Marketing Tech • Software
Serve as the technical counterpart to Account Management to onboard, implement, and support customers on Lob's SaaS direct-mail platform. Lead technical implementations, document requirements, manage timelines, and ensure adoption and retention while partnering with account teams and customers.
Top Skills:
APIsCdpCRMMarketing Automation ToolsThird-Party Integrations
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Sell Qualtrics Experience Management solutions to Aerospace & Defense and government contractor customers in the Federal space. Develop territory and account plans, prospect, demo, negotiate, and close complex enterprise deals. Drive new logo acquisition and account expansion, meet quarterly/annual targets, collaborate with partners and ecosystem resources, and conduct occasional client-facing travel. Based in the DMV area.
Top Skills:
Linkedin Sales NavigatorMeddiccQualtricsSalesforce
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
Sell InterSystems HealthShare and related health IT solutions to health systems and IDNs. Develop executive-level relationships, build pipeline, drive new business revenue, protect and grow accounts, provide customer feedback to product teams, and coordinate internal resources to meet sales objectives.
Top Skills:
Healthcare Information TechnologyHieInteroperabilityIntersystems HealthsharePopulation Health Management
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
