Analyze and classify technical content for security vulnerabilities, apply pattern recognition to improve AI model threat detection, design and evaluate security problems, and collaborate asynchronously with domain experts to produce high-quality outputs.
This role is for one of our clients
Compensation: $70-$90 per hour
We are partnering with a leading AI lab to engage experienced cybersecurity and low-level programming professionals for a short-term, high-impact project. This role focuses on analyzing and reviewing content for security vulnerabilities, with an emphasis on pattern recognition and classification within an AI-driven environment.
You will apply your expertise in systems programming and cybersecurity to help improve how advanced AI models detect, classify, and reason about potential threats.
Requirements
What You’ll Do
- Analyze and review technical content to identify potential security vulnerabilities
- Classify issues using established frameworks and best practices
- Design, solve, and evaluate real-world security-focused problems
- Apply pattern recognition to improve AI model understanding of threat scenarios
- Collaborate asynchronously with domain experts to ensure high-quality outputs
Who You Are
- 2+ years of programming experience, preferably in low-level languages such as C, C++, or Java
- Familiarity with vulnerability classification frameworks (e.g., OWASP, CVEs, or similar)
- Strong understanding of cybersecurity fundamentals, including web security and common attack vectors
- Excellent attention to detail and analytical thinking
- Clear written and verbal communication skills in English
Eligibility
- Must be based in the United States, Canada, United Kingdom, Australia, or New Zealand
- Ability to pass an enhanced background check
Engagement Details
- Initial work trial beginning mid-April, with potential extension into a ~2-month project
- Fully remote, asynchronous work environment with flexible scheduling
- Opportunity to collaborate with highly skilled experts across cybersecurity and AI domains
Interview Process
- Short interview and questionnaire to assess technical expertise
- Paid onboarding (up to 1 hour), including screening and introductory materials for selected candidates
Compensation & Payments
- Competitive compensation based on expertise and contribution
- Weekly payments via supported global payment platforms
Additional Information
- Independent contractor engagement
- Work must not involve sharing confidential or proprietary information from any current or past employer or client
- Project duration may vary based on performance and business needs
- This opportunity does not currently support certain work authorization categories
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software
Lead the design, delivery, and operationalisation of agentic AI workflows and agents from discovery to production. Build integrations with enterprise systems, reusable automation patterns, and monitoring frameworks while partnering with stakeholders and evangelising safe, auditable AI automation across the business.
Top Skills:
APIsClaudeCloud InfrastructureGeminiLlmsMcpNetSuitePythonRag SystemsSalesforceSdksSlackTypescriptWebhooksWorkday
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Engagement Marketing Manager will focus on activation and habituation through experimentation, analytics, and collaboration across Product, Engineering, and Design teams to drive customer engagement and product decisions.
Top Skills:
Ai ToolsBrazeIterableModeSalesforce Marketing CloudSQLTableau
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.
Top Skills:
AmpAuroraAWSClaudeCodexDatabricksDatadogGoGooseGraphQLJavaJooqKotlinKubernetesMcpMySQLProtocol BuffersPythonSnowflakeSQLTemporalTerraformVitess
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
