At a Glance
- Tasks: Review and evaluate AI outputs, ensuring top-notch data quality.
- Company: Obsidian, a forward-thinking company in Greater London.
- Benefits: Earn $30–$60 per hour with flexible part-time hours.
- Other info: Immediate start available for motivated candidates.
- Why this job: Join a dynamic team and contribute to cutting-edge AI research.
- Qualifications: Strong research skills, attention to detail, and great communication.
The predicted salary is between 30 - 60 £ per hour.
Obsidian is seeking detail-oriented generalists for part-time data quality control roles in Greater London. Responsibilities include reviewing and evaluating AI-generated outputs, annotating data with strict guidelines, and flagging quality issues.
The ideal candidate should have strong research and analytical skills, attention to detail, and excellent written communication.
Compensation ranges from $30–$60 per hour, with an immediate start preferred.
Data Quality & AI Research Analyst (Part-Time) in London employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that values detail-oriented individuals. Our part-time Data Quality & AI Research Analysts enjoy flexible working hours in the vibrant Greater London area, competitive compensation, and opportunities for professional growth in the rapidly evolving field of AI. Join us to be part of a team that is dedicated to maintaining high standards of quality while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & AI Research Analyst (Part-Time) in London
✨Tip Number 1
Make sure to research Obsidian and their work in AI. Understanding their projects will help you tailor your conversation during interviews and show that you're genuinely interested in the role.
✨Tip Number 2
Practice your analytical skills before the interview. You might be asked to evaluate some AI outputs on the spot, so being prepared will give you a leg up and demonstrate your attention to detail.
✨Tip Number 3
Don’t underestimate the power of networking! Reach out to current or former employees on LinkedIn to get insights about the company culture and what they look for in candidates.
✨Tip Number 4
Apply through our website for a smoother process. We want to see your application, and applying directly can sometimes give you an edge over other candidates!
We think you need these skills to ace Data Quality & AI Research Analyst (Part-Time) in London
Some tips for your application 🫡
Show Off Your Attention to Detail:When you're writing your application, make sure to highlight your attention to detail. We want to see how you’ve tackled similar tasks in the past, so don’t be shy about sharing specific examples!
Be Clear and Concise:We love a good communicator! Keep your writing clear and to the point. Avoid jargon unless it’s necessary, and make sure your sentences flow well. This will show us that you can communicate effectively, which is key for this role.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Data Quality & AI Research Analyst position. Mention how your skills align with our needs, especially in research and analysis.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Obsidian
✨Know Your Data
Before the interview, brush up on your understanding of data quality and AI outputs. Familiarise yourself with common issues in AI-generated data and think about how you would approach evaluating them. This will show that you're not just detail-oriented but also proactive in your research.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've used your analytical skills to solve problems or improve processes. Think of situations where your attention to detail made a significant difference. This will help demonstrate your fit for the role and your ability to handle the responsibilities.
✨Communicate Clearly
Since excellent written communication is key for this role, practice articulating your thoughts clearly and concisely. You might be asked to explain complex concepts or your thought process during the interview, so being able to communicate effectively will set you apart.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the company. This shows your genuine interest in the position and helps you gauge if it's the right fit for you. Ask about the tools they use for data evaluation or how they handle quality issues—this can lead to a great discussion!
