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- Tasks: Ensure quality of AI models by designing data tasks and evaluating datasets.
- Company: Leading AI company with an inclusive culture in London.
- Benefits: Remote flexibility, health coverage, and six weeks vacation.
- Why this job: Join a dynamic team and make a real impact in AI development.
- Qualifications: Strong software engineering and statistical skills required.
- Other info: Collaborative environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI company is seeking a Member of Technical Staff for Data Analysis and Evaluation in London. In this role, you will ensure the quality and performance of large language models by designing data collection tasks and evaluating datasets. You will collaborate with cross-functional teams and require strong software engineering and statistical skills.
The company offers an inclusive culture and benefits including remote flexibility, health coverage, and six weeks vacation.
LLM Data Quality & Evaluation Specialist employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Data Quality & Evaluation Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data analysis space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data evaluation projects or any relevant work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your software engineering and statistical knowledge, and be ready to discuss how you've tackled data quality issues in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace LLM Data Quality & Evaluation Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that are most relevant to the LLM Data Quality & Evaluation Specialist role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your software engineering and statistical skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. We love seeing genuine enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We appreciate candidates who can demonstrate their hands-on experience with data analysis and evaluation, so share those successes with us!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Cohere
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets used in large language models. Brush up on data collection methods and evaluation metrics, as these will likely come up in your interview. Being able to discuss specific examples from your past experience will show that you’re not just knowledgeable but also practical.
✨Showcase Your Software Skills
Since strong software engineering skills are a must for this role, be prepared to talk about your programming experience. Bring examples of projects where you’ve implemented data analysis or evaluation tasks. If you can, demonstrate your proficiency in relevant languages or tools, as this will give you an edge.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so highlight your teamwork skills. Think of instances where you’ve successfully collaborated with others to achieve a common goal. Be ready to discuss how you handle differing opinions and how you contribute to a positive team dynamic.
✨Embrace the Company Culture
Research the company’s values and culture before your interview. Since they promote inclusivity and flexibility, think about how your personal values align with theirs. Prepare to discuss why you’re excited about joining their team and how you can contribute to maintaining a positive work environment.
