At a Glance
- Tasks: Evaluate AI-generated biology outputs for accuracy and relevance while creating engaging biology problems.
- Company: Leading biology research firm in the UK with a focus on innovation.
- Benefits: Flexible hours, competitive pay, and the chance to work on cutting-edge projects.
- Why this job: Make a real impact in biology research while working with advanced AI technology.
- Qualifications: PhD in Biology or related field with strong academic or professional experience.
- Other info: Part-time role with 10β20 hours a week and potential for extension.
The predicted salary is between 13 - 16 Β£ per hour.
A leading biology research firm in the United Kingdom seeks a part-time project-based role focused on evaluating AI-generated biology outputs for accuracy and relevance. Candidates must hold a PhD in Biology or a related field, with strong academic or professional experience.
Responsibilities include:
- Creating biology problems
- Improving AI response clarity
- Collaborating with research teams
This role is flexible, requiring 10β20 hours a week with potential for extension.
Biology AI Quality Analyst (Part-Time) in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Biology AI Quality Analyst (Part-Time) in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the biology field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
β¨Tip Number 2
Prepare for those interviews! Brush up on common questions related to AI in biology and think about how your PhD experience can shine through. We want you to show off your expertise and passion!
β¨Tip Number 3
Donβt forget to showcase your projects! If you've worked on any relevant research or AI-related tasks, make sure to highlight them during discussions. This is your chance to demonstrate your skills and creativity.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Biology AI Quality Analyst (Part-Time) in London
Some tips for your application π«‘
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in biology. We want to see how your background makes you the perfect fit for evaluating AI outputs!
Tailor Your Application: Donβt just send a generic CV! Customise your application to reflect the specific skills and experiences that align with the role. We love seeing how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, especially since you'll be improving AI response clarity in this role!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates!
How to prepare for a job interview at Crossing Hurdles
β¨Know Your Biology Inside Out
Make sure you brush up on your biology knowledge, especially the areas relevant to AI applications. Be prepared to discuss your PhD research and how it relates to evaluating AI outputs. This will show your depth of understanding and passion for the subject.
β¨Familiarise Yourself with AI Concepts
Since the role involves evaluating AI-generated content, itβs crucial to have a basic understanding of AI principles. Research how AI models work in the context of biology and be ready to discuss any relevant experiences you have had with AI tools or projects.
β¨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the companyβs current projects, their approach to AI in biology, and how they measure the accuracy of AI outputs. This shows your genuine interest and helps you assess if the role is right for you.
β¨Showcase Your Collaboration Skills
As this role involves working with research teams, be ready to share examples of past collaborations. Highlight how youβve effectively communicated complex ideas and contributed to team success. This will demonstrate that youβre not just a brilliant individual contributor but also a great team player.