AI Red Team Engineer, Portuguese

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October 17

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Lilt

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Artificial Intelligence • Enterprise • SaaS

Lilt is an AI-powered translation company that focuses on providing high-quality language translation services for enterprises. It leverages custom AI models and human linguists to ensure accurate and consistent translations across over 100 languages. Lilt integrates with existing business systems, allowing seamless content exchange and translation management. The company serves a variety of industries, including eCommerce, technology, media, and more, and offers solutions catered to different departments such as marketing, customer support, and technical content.

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $55M Series C on 2022-04

📋 Description

• Collaborate on projects focused on adversarial testing of AI systems. • Craft prompts and scenarios to test model guardrails. • Explore creative ways to bypass restrictions and systematically document outcomes. • Think like an adversary to uncover weaknesses, while collaborating with engineers and safety researchers to share findings and improve system defenses.

🎯 Requirements

• Deep Understanding of Generative AI and main models, including their underlying architectures, training processes, and potential failure modes. • Cybersecurity & Threat Modeling: Experience in cybersecurity principles, including threat modeling, vulnerability assessment, and penetration testing. • 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. • Ethical Hacking Mindset: A commitment to using her/his skills for defensive and security-focused purposes, adhering to a strict ethical code.

🏖️ Benefits

• 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.