AI Red Team Engineer Arabic
First seen by Alion on Oct 17, 2026. Lilt scores A on the Alion truth index.
AI is changing how the world communicates and LILT is leading that transformation.
Were on a mission to make the worlds information accessible to everyone regardless of the language they speak. We use cutting-edge AI machine translation and human-in-the-loop expertise to translate content faster more accurately and more cost-effectively without compromising on brand voice or quality.
At LILT we empower our teammates with leading tools global collaboration and growth opportunities to do their best work. Our company virtuesWork together win together; Find a way or make one; Quicker than they expect; Quality is Job 1guide everything we do. We are trusted by Intel Corporation Canva the United States Department of Defense the United States Air Force ASICS and hundreds of global Enterprises. Backed by Sequoia Intel Capital and Redpoint were building a category-defining company in a $50B global translation market being redefined by AI.
Role OverviewLILT 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. Youll think like an adversary to uncover weaknesses while collaborating with engineers and safety researchers to share findings and improve system defenses.
Key CriteriaDeep 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.
You hold a Bachelors or Masters 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.
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.
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.
Our founders Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley they both worked on language technology to make information accessible to everyone. While together at Google they were amazed to learn that Google Translate wasnt used for enterprise products and services inside the quality just wasnt there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time machine translation didnt meet the quality standard for enterprise translations so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services LILT has prioritized investments in Large Language Models human-in-the-loop systems and now agentic AI.
With AI innovation accelerating and enterprise demand growing the next phase of LILTs journey is just beginning.
Our TechWhat sets our platform apart:
Brand-aware AI that learns your voice tone and terminology to ensure every translation is accurate and consistent
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
100 native integrations with systems like Adobe Experience Manager Webflow Salesforce GitHub and Google Drive to simplify content translation
Human-in-the-loop reviews via our global network of professional linguists for high-impact content that requires expert review
LILT in the News
Featured in The Software Reports Top 100 Software Companies!
LILT makes it onto the Inc. 5000 List.
LILTs continues to be an intellectual powerhouse holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
Check out all our news on our website.
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LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individuals 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.