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SWE (Cybersecurity) at Weekday AI. This role is for one of our clients. Compensation: $60-$70 per hour. We are seeking . experienced Software Engineers specializing in Cybersecurity. to contribute to high-impact research collaborations with leading AI organizations. In this role, you will help build high-quality training datasets that improve how AI models reason about and solve real-world software engineering and security challenges.. This opportunity allows you to apply your expertise in . secure software development and vulnerability analysis. while helping shape the next generation of intelligent systems.. About the Project. You will work on . SWE-bench–style tasks derived from real open-source repositories. , focusing on understanding how advanced AI models approach software engineering and security problems.. Since many models do not expose their internal reasoning processes, your work will involve . reconstructing and annotating reasoning steps. in model-generated trajectories. Using the task context and your own engineering reasoning, you will infer and document the likely decision-making process behind each step.. Key Responsibilities. Design benchmark tasks by identifying . vulnerability classes. (type/subtype and difficulty level) and validating the intended exploit behavior . Create or validate small, runnable codebases (environment repositories) that include data ingestion and prompt/tool usage where . trust boundaries may be violated. . Validate attacks by writing . exploit scripts. and clearly documenting the resulting unsafe behavior . Implement or verify . patches that prevent exploits. , ensuring the fixes effectively mitigate the vulnerability . Produce . detailed task metadata. , including severity mapping, file and line references, impact analysis, remediation summaries, and relevant documentation . Conduct . review and quality checks. to ensure file paths resolve correctly, line ranges are accurate, sensitive labels are not leaked, and the patch successfully blocks the exploit . Ideal Qualifications. . 2+ years of software engineering experience. , particularly in application security, vulnerability research, or secure software development . Degree in . Software Engineering, Computer Science, or a related field. (Bachelor’s minimum; advanced degree preferred) . Strong proficiency in . Python, JavaScript, TypeScript, or other common languages used in open-source projects. . Familiarity with . Git workflows. , including pull requests, issue tracking, and repository collaboration . Ability to . articulate technical reasoning clearly. through structured written documentation . Project Details. . Start Date:. Immediate . . Duration:. 1–2 months . . Commitment:. Part-time (15–25 hours per week, with flexibility up to 40 hours per week) . Application & Onboarding Process. Submit your . resume. . Complete a . short AI interview (approximately 15 minutes). designed to understand your background and experience . Receive . follow-up communication within a few days. with next steps and onboarding details . Apply today to use your . software engineering and cybersecurity expertise. to help build more capable and reliable AI systems.. Contract and Payment Terms. Engagement will be as an . independent contractor. . This is a . fully remote role. that can be completed on your own schedule . Projects may be . extended, shortened, or concluded early. depending on needs and performance . Work performed will . not involve access to confidential or proprietary information. from any employer, client, or institution . . Payments are issued weekly. via . Stripe or Wise. based on services rendered . Please note: . Candidates requiring H1-B or STEM OPT sponsorship cannot be supported for this role at this time.. Company Location: United States.