LLM Evaluation Scenario Architect (Remote)
LLM Evaluation Scenario Architect (Remote)

LLM Evaluation Scenario Architect (Remote)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design evaluation scenarios for LLM-based agents and define test cases.
  • Company: Innovative tech company focused on AI advancements.
  • Benefits: Flexible remote work, competitive pay, and the chance to shape AI technology.
  • Why this job: Contribute to groundbreaking AI projects while balancing your schedule.
  • Qualifications: Bachelor's or Master's degree in relevant fields and strong communication skills.
  • Other info: Ideal for those passionate about AI and looking for freelance opportunities.

The predicted salary is between 36000 - 60000 £ per year.

A technology company is seeking a candidate to design structured evaluation scenarios for LLM-based agents. This remote freelance role requires expertise in defining test cases, annotating task steps, and reviewing agent behaviors.

Candidates should have a Bachelor's or Master's degree in related fields, strong communication skills, and familiarity with JSON/YAML formats.

This is an excellent opportunity to work on innovative AI projects while contributing on a flexible schedule that accommodates other commitments.

LLM Evaluation Scenario Architect (Remote) employer: Mindrift

Join a forward-thinking technology company that values innovation and flexibility, offering you the chance to work remotely as an LLM Evaluation Scenario Architect. With a strong emphasis on employee growth and a collaborative work culture, you'll have the opportunity to contribute to cutting-edge AI projects while enjoying a work-life balance that suits your lifestyle. This role not only allows for meaningful contributions but also fosters professional development in a dynamic and supportive environment.
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Contact Detail:

Mindrift Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land LLM Evaluation Scenario Architect (Remote)

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or relevant forums. We can’t stress enough how a simple chat can lead to opportunities you might not find on job boards.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your experience with LLMs, JSON/YAML formats, and any evaluation scenarios you've designed. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common questions related to LLM evaluation and agent behaviours. We recommend practising with a friend or even in front of a mirror to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.

We think you need these skills to ace LLM Evaluation Scenario Architect (Remote)

Designing Evaluation Scenarios
Defining Test Cases
Annotating Task Steps
Reviewing Agent Behaviours
Strong Communication Skills
Familiarity with JSON
Familiarity with YAML
Bachelor's or Master's Degree in Related Fields

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your expertise in defining test cases and annotating task steps. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant experience!

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate strong communication skills, so make sure your points are easy to understand and get straight to the heart of what you bring to the table.

Familiarity is Key: Since this role involves working with JSON/YAML formats, mention any experience you have with these. We love seeing candidates who are already comfortable with the tools we use!

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at Mindrift

✨Know Your LLMs

Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be prepared to discuss how they work, their strengths and weaknesses, and any relevant projects you've worked on. This will show that you're not just familiar with the technology but also passionate about it.

✨Showcase Your Scenario Design Skills

Prepare examples of structured evaluation scenarios you've designed in the past. Be ready to explain your thought process behind defining test cases and annotating task steps. This will demonstrate your practical experience and ability to think critically about agent behaviours.

✨Communicate Clearly

Strong communication skills are a must for this role. Practice articulating your ideas clearly and concisely. During the interview, make sure to listen actively and respond thoughtfully to questions, as this will reflect your ability to collaborate effectively in a remote setting.

✨Familiarity with JSON/YAML

Since familiarity with JSON and YAML formats is essential, be prepared to discuss how you've used these formats in your previous work. If possible, bring along examples or even a small project that showcases your skills. This will help you stand out as a candidate who can hit the ground running.

LLM Evaluation Scenario Architect (Remote)
Mindrift

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