AI Red Team Engineer - Arabic
Role Overview
LILT is seeking freelance AI Red Team experts to collaborate on projects focused on adversarial testing of AI systems — LLMs, multimodal models, inference services, RAG/embeddings, and product integrations. Your work will involve crafting prompts and scenarios to test model guardrails, exploring creative ways to bypass restrictions, and systematically documenting outcomes. You’ll think like an adversary to uncover weaknesses, while collaborating with engineers and safety researchers to share findings and improve system defenses.
Key Criteria
Deep Understanding of Generative AI and main models, including their underlying architectures, training processes, and potential failure modes. This includes knowledge of concepts like prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF)
Cybersecurity & Threat Modeling: Experience in cybersecurity principles, including threat modeling, vulnerability assessment, and penetration testing. Ability to identify attack vectors, simulate real-world threats, and understand the potential impact of an attack.
Data Analysis & NLP: Strong analytical skills to dissect model outputs, identify subtle biases or factual errors, and recognize patterns in how the model responds to different inputs. A background in Natural Language Processing (NLP) would be highly beneficial.
Ethical Hacking Mindset: A commitment to using her/his skills for defensive and security-focused purposes, adhering to a strict ethical code, and understanding the importance of responsible disclosure.
Core Requirements
You hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Cybersecurity, Digital Forensics or other related fields.
Your level of English is advanced (C1) or above
Adversarial thinking
Knowledge of vulnerabilities, common model vulnerabilities (prompt injection, prompt-history leakage, data exfiltration via RAG).
Experience in AI/ML security, evaluation, and red teaming, particularly with LLMs, AI agents, and RAG pipelines.
You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
Proficient in scripting and automation using Python, Bash, or PowerShell.
Familiar with AI red-teaming frameworks such as garak or PyRIT.
Preferred Requirements
Physical-world adversarial testing
Experienced with containerization and CI/CD security tools, especially Docker.
Proficient in offensive exploitation and exploit development.
Skilled in reverse engineering using tools like Ghidra or equivalents.
Expertise in network and application security, including web application security.
Knowledge of operating system security concepts such as Linux privilege escalation and Windows internals.
Familiar with secure coding practices for full-stack development.
Benefits
Why this freelance opportunity might be a great fit for you?
Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs.
Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
Work on advanced AI projects and gain valuable experience that enhances your portfolio.
Influence how future AI models understand and communicate in your field of expertise.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.