Red Teaming Specialist - AI Training
About The Position
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. Languages: English, Arabic, Bengali, Simplified Chinese, Traditional Chinese, French, German, Hindi, Indonesian, Japanese, Korean, Portuguese (Brazil), Russian, Spanish, Swahili, Tamil, Telugu, Thai, Turkish, Urdu, Vietnamese Location: Remote Project Overview We are seeking highly qualified subject matter experts in Safety and Policy oriented Red Teaming to support a suite of innovative AI-focused projects. This is an exciting opportunity to contribute your expertise across a range of activities aimed at enhancing model safety performance. This role pays up to $100.00 per hour You can expect 10-20 hours of work per week with potential for increased hours and extension. Role Overview: As a Red Teaming SME, you will play a critical role in training AI models by participating in a variety of subject matter specific data annotation projects leveraging critical thinking and subject matter knowledge. Your contributions will help fine tune AI safety performance. This is a remote, freelance position.
Requirements
- Native speaker of one of the listed languages
- University degree (preferably Masters, PhD level) in STEM related field, Cybersecurity, Information Assurance, or Software Engineering
- Proven academic or professional experience with Red Teaming
- Strong grasp of Cybersecurity and Red Teaming terminology and practices
Responsibilities
- training AI models by participating in a variety of subject matter specific data annotation projects leveraging critical thinking and subject matter knowledge
- fine tune AI safety performance
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Number of Employees
251-500 employees
