AI Safety, Red Teaming Specialist

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🕒 Julho 3

🌐 Índia, Estados Unidos – Remoto

🇮🇳 Índia – Remoto 🇺🇸 Estados Unidos – Remoto (EUA)

💵 $50 - $90 / hora

⏳ Contrato/Temporário

🟢 Júnior

🟡 Pleno

🤖 Inteligência Artificial

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Weekday (YC W21)

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

💼 Consultoria

👥 RH Tech

☁️ SaaS

Consulting • HR Tech • SaaS

A Weekday é uma plataforma moderna de recrutamento que combina tecnologias de IA com um vasto banco de dados de potenciais candidatos, com o objetivo de agilizar e simplificar o processo de contratação para empresas na Índia. A empresa oferece diversos serviços, incluindo uma abordagem proativa de outreach que ajuda empregadores a se conectarem com talentos de ponta, além de ferramentas para que candidatos se candidatem facilmente a vagas. O foco da Weekday em engajamento de candidatos por múltiplos canais — incluindo e-mail, WhatsApp e ligações telefônicas — a diferencia no competitivo mercado de agências de recrutamento.

Descrição

• Evaluate and strengthen the safety, security, and robustness of next-generation AI systems. • Leverage expertise in adversarial AI, LLM security, and AI safety to identify vulnerabilities. • Design evaluation methodologies and improve the resilience of large language models against real-world threats. • Collaborate with technical teams to translate security findings into actionable recommendations for AI safety improvements. • Document testing methodologies, findings, and best practices through clear technical reports and presentations for both technical and non-technical stakeholders.

🎯 Requisitos

• 2+ years of experience in AI Safety, Adversarial Machine Learning, LLM Red Teaming, AI Security, or a related field. • Hands-on experience researching, testing, or identifying vulnerabilities involving prompt injection, ethical jailbreaks, adversarial attacks, or tool-use exploitation. • Strong understanding of modern LLM architectures, prompt engineering, and AI safety evaluation methodologies. • Experience developing structured security assessments, regression testing frameworks, and adversarial evaluation strategies. • Excellent analytical, documentation, and communication skills with the ability to explain complex technical findings clearly. • Ability to collaborate effectively within cross-functional technical teams. • Master's or PhD in Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related discipline is preferred. • Contributions to AI security research, open-source AI safety tools, conference presentations, or published research are a plus. • Experience with AI model evaluation frameworks, prompt engineering techniques, and AI security assessment tools is advantageous. • Background in multidisciplinary AI safety, cybersecurity, or adversarial machine learning projects is beneficial.