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AI Red Team Engineer - French Canadian

ID: 9133

Type: Full-time

Category: Others

Company Name: Lilt

Location: Canada

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Job Description

About LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's 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 virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide 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, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

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

  1. 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)

  2. 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.

  3. 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.

  4. 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.

Our Story

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 wasn’t used for enterprise products and services inside the company.The quality just wasn’t 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 didn’t 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 LILT’s journey is just beginning.


Our Tech

What 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

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.

Company Information

Company Name: Lilt

Company Website: https://lilt.com

Company Address: 2 Embarcadero Center, Floor 8 San Francisco, California 94111, USA

Lilt is a technology company that develops enterprise software for multilingual content localization by combining adaptive neural machine translation (NMT) with human-in-the-loop translation workflows. Founded in 2015 by former Google machine-translation researchers, Lilt positions itself as a provider of an AI-powered localization platform designed to increase translation quality and throughput while lowering cost and turnaround time for organizations that produce content in multiple languages. The company’s offerings center on integrating real-time, adaptive machine translation with computer-assisted translation (CAT) tools, translation memory (TM), terminology management, workflow automation, and analytics to support both linguists and enterprise localization teams. Core business activities for Lilt include building and maintaining its adaptive NMT engines, developing a cloud-based translation platform and CAT environment, providing APIs and connectors for integration with content management systems and engineering toolchains, and offering professional services and support to help customers deploy and scale localization programs. The technical differentiator Lilt emphasizes is “adaptive” translation: its machine translation models learn continuously from human post-edits during translation sessions, allowing the MT output to improve rapidly in context for a given customer’s content and terminology. This tight integration of human feedback with model adaptation is intended to reduce the amount of repetitive post-editing required and to accelerate the pace at which domain-specific, brand-consistent translations are produced. Lilt’s main products and capabilities are offered through a web-based enterprise localization platform that embeds a CAT editor with an integrated adaptive MT engine, translation memory and terminology management, quality assurance checks, and project management features. The platform supports collaborative workflows among translators, reviewers, and localization managers and provides features common to modern translation management systems such as job assignment, progress tracking, and reporting. Lilt also exposes programmatic interfaces (APIs and SDKs) and pre-built connectors to integrate translation into software development and content publishing pipelines, enabling continuous localization for websites, mobile apps, documentation, marketing materials, and other digital assets. By offering both a user-facing CAT environment and developer-facing APIs, Lilt aims to serve language service providers, in-house localization teams, product and engineering organizations, and other enterprise customers. Technical components of Lilt’s solution include adaptive neural MT models, a translation memory that stores past human translations for reuse, terminology management to enforce brand and domain vocabulary, and quality assurance tooling that detects common translation errors and enforces consistency. The adaptive MT approach is central to Lilt’s value proposition: the machine learning models are updated with human corrections in near real time so that subsequent segments reflect the corrected phrasing and terminology. This method reduces repetitive corrections and helps create consistent, domain-specific output more quickly than static MT systems. The platform also collects analytics on translation throughput, cost savings, and quality metrics to help localization managers measure the impact of automation and to identify areas for process improvement. Lilt provides enterprise-oriented features such as secure cloud hosting, role-based access control, Single Sign-On (SSO), and compliance measures appropriate for companies operating at scale. The company supports workflows for translators and reviewers, vendor management features, and options for deploying custom engines or domain adaptation to meet client requirements. Integration capabilities include REST APIs and connectors commonly used to automate translation requests from content repositories, code repositories, and popular content management systems, enabling continuous localization workflows that minimize manual handoffs between content creation and translation. While Lilt’s principal focus is on software and services for translation and localization, the technology is applicable across a broad range of use cases where multilingual content is required—product user interfaces, help and documentation, marketing and legal copy, customer support knowledge bases, and e-commerce catalogs. The company’s approach is targeted at organizations seeking to accelerate global product launches, reduce localization costs, and maintain linguistic consistency and brand voice across languages. Lilt operates as a software-as-a-service (SaaS) and platform provider in the language-technology and localization industry. The company’s customers include in-house localization teams, language service providers, and large enterprises with substantial translation volumes. Lilt’s product roadmap and messaging emphasize the combination of machine learning with human expertise to deliver scalable, high-quality localization, and the company provides professional services and onboarding to help clients tailor the platform to their content and processes. Overall, Lilt is recognized in the language-technology sector as a vendor that advances practical uses of adaptive machine translation within enterprise localization operations, aiming to streamline multilingual content production while preserving human oversight and linguistic quality.
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