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
.jpg)
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.
Top Skills:
AWSAzureCi/CdClaudeContainerizationCopilotCrewaiCursorDigital Asset ManagementDrupalEmbedding ModelsGCPHermes AgentLangchainLangfuseLanggraphLlamaindexLlm Fine-TuningOpenclawOpencodeOpenspecPydanticPythonRagTemporalVector Databases
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Target and close new enterprise SaaS deals within major Canadian retail accounts. Build C-suite relationships, develop account and territory plans, orchestrate cross-functional teams, position ServiceNow AI solutions, negotiate contracts, hit sales targets, and travel up to 50%.
Top Skills:
AIServicenow
Big Data • Information Technology • Software • Analytics • Energy
Lead power market analysis and forecasting, focusing on price, supply-demand, congestion, and CRR/FTR valuation. Produce publications, host webinars, engage clients, develop market models, mentor analysts, and provide actionable insights for trading, planning, and congestion risk management.
Top Skills:
DayzerEnverus Software ToolsPlexosPowerworldUplan
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
