Associate (AI Safety)

Associate (AI Safety)

Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
Faculty

At a Glance

  • Tasks: Manage AI projects, build client relationships, and support innovative AI solutions.
  • Company: Join Faculty, a leader in responsible AI for national security and global stability.
  • Benefits: Enjoy unlimited leave, private healthcare, flexible working, and coaching support.
  • Why this job: Be part of a team shaping the future of AI safety and innovation.
  • Qualifications: Analytical skills, passion for AI safety, and experience with technical teams required.
  • Other info: Diverse and inclusive workplace with opportunities for personal and professional growth.

The predicted salary is between 28800 - 48000 £ per year.

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions.

As an Associate within our AI Safety team, you’ll be part of a close-knit team - scoping, building and delivering impactful AI projects for our clients in the industry with a focus on frontier model evaluations and crucial crossover work with our customers in the Government & Public Services space.

What you’ll be doing:

  • Managing individual work streams to support the successful delivery and implementation of bespoke AI solutions
  • Working side-by-side with key stakeholders to understand critical mission challenges and user needs
  • Conducting open-source analysis to support the development of cutting-edge AI tools
  • Translating complex operational requirements into clear user stories for delivery and engineering teams
  • Designing and testing workflows that support user-centric decision-making in high-stakes environments
  • Collaborating closely with technical teams to ensure projects run smoothly and solutions meet customer needs
  • Contributing to internal thought leadership, strategy, and capability development across the team

Who we’re looking for:

  • You demonstrate analytical thinking, can clearly communicate ideas, and synthesise complex information
  • You bring a passion for Applied AI safety, possibly from your experience within labs, academia, or evaluation/red teaming roles.
  • You have external client-facing experience and have built trusted relationships which have contributed to the overall success of projects/products
  • You’ve worked with technical teams
  • You understand Agile and related methodologies and the basis of iterative development and continuous delivery
  • You are thoughtful and proactive in ambiguous situations, with examples of when you’ve taken initiative and owned finding solutions to challenges
  • You’re excited and knowledgeable about the possibilities for innovation in AI Safety technology

Our interview process:

  • Talent Team Screen (30 mins)
  • Introduction Interview (60 mins)
  • Case Study Interview (60 mins)
  • Interview with Business Unit Director (30 mins)

Some of our standout benefits:

  • Unlimited Annual Leave Policy
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-Friendly Flexibility & Flexible working
  • Sanctus Coaching
  • Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don’t hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Associate (AI Safety) employer: Faculty

At Faculty, we pride ourselves on being at the forefront of AI innovation, offering a dynamic work environment that fosters intellectual curiosity and collaboration. Our commitment to employee well-being is reflected in our unlimited annual leave policy, private healthcare, and family-friendly flexibility, ensuring that you can thrive both personally and professionally. Join us in London, where you'll have the opportunity to work on impactful AI projects that contribute to national security and global stability, all while being part of a diverse team dedicated to making a positive legacy through technology.
Faculty

Contact Detail:

Faculty Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Associate (AI Safety)

✨Tip Number 1

Network like a pro! Reach out to people in the AI Safety field, especially those connected to Faculty. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Prepare for your interviews by diving deep into AI safety topics. Show us your passion and knowledge during the interview process, and don’t shy away from discussing real-world applications of AI.

✨Tip Number 3

Practice makes perfect! Get comfortable with case studies and problem-solving scenarios related to AI. This will help you shine in our case study interview and demonstrate your analytical thinking.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their journey.

We think you need these skills to ace Associate (AI Safety)

Analytical Thinking
Client Relationship Management
Open-Source Analysis
User Story Development
Workflow Design and Testing
Collaboration with Technical Teams
Thought Leadership
Agile Methodologies
Problem-Solving
Initiative in Ambiguous Situations
Knowledge of AI Safety
Communication Skills
Understanding of User Needs
Experience in Evaluation/Red Teaming

Some tips for your application 🫡

Show Your Passion for AI Safety: When writing your application, let your enthusiasm for AI safety shine through! Share any relevant experiences or projects that highlight your interest in responsible AI development. We love seeing candidates who are genuinely excited about the field.

Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your analytical thinking and client-facing experience, as these are key for us. A tailored application shows you’ve done your homework!

Be Clear and Concise: We appreciate clarity in communication, so keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and experiences at a glance. Remember, less is often more!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!

How to prepare for a job interview at Faculty

✨Know Your AI Safety Stuff

Make sure you brush up on the latest trends and challenges in AI safety. Familiarise yourself with real-world applications and case studies, especially those related to national security. This will show your passion and understanding of the field during the interview.

✨Build Relationships Beforehand

Since this role involves client-facing work, think about how you can demonstrate your ability to build trusted relationships. Prepare examples from your past experiences where you successfully collaborated with stakeholders or clients, highlighting your communication skills.

✨Master Agile Methodologies

As the job mentions Agile methodologies, be ready to discuss your experience with them. Think of specific instances where you’ve applied Agile principles in your work, and how they contributed to project success. This will show that you can adapt to their workflow.

✨Prepare for Case Studies

The interview process includes a case study, so practice analysing complex scenarios and translating them into actionable insights. Try to simulate this by reviewing past projects or hypothetical situations, focusing on how you would approach problem-solving in high-stakes environments.

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