Join the Innovation at ThinkingIT Corp. Are you passionate about technology and data? ThinkingIT Corp. invites you to express your interest in our Tech & Data Internship program. This exciting opportunity is tailored for students and recent graduates looking to immerse themselves in the fast-paced world of digital solutions and data analysis. As a Tech & Data Intern, you will gain hands-on experience working alongside skilled professionals in various projects related to software development, data analytics, and emerging technologies. You will learn the fundamentals of programming, data manipulation, and best practices in the tech industry while contributing to meaningful projects. What You Will Experience: - Exposure to real-world tech projects, including software development and data analysis. - Collaboration with experienced engineers and data professionals. - Opportunities to improve your coding and analytical skills. - Engagement in discussions and workshops about the latest trends in technology and data science.

• Be part of a multidisciplinary product team • Contribute hands-on development for tickets assigned to you, with an initial focus on back-end processes, technical debt, and quality assurance • Collaborate with senior engineers on strategic projects such as the Postgres database migration or developing E2E test automation

• Develop and maintain scalable, reliable, and secure services primarily using Golang • Actively participate in all stages of the software development lifecycle • Design and implement scalable microservices architectures • Write and maintain robust automated tests • Monitor application health and performance • Participate in code reviews • Collaborate closely with product managers and cross-functional partners • Ensure system stability and reliability

Role Description 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. 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. Your work will involve: - Reconstructing and annotating reasoning steps in model-generated trajectories. - Inferring and documenting 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. 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. Requirements - 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. 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.