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 shape the future of AI technology.
- 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
- Flagging quality issues
The ideal candidate should have:
- Strong research and analytical skills
- Attention to detail
- Excellent written communication
Compensation ranges from $30–$60 per hour, with an immediate start preferred.
Data Quality & AI Research Analyst (Part-Time) employer: Obsidian
Obsidian offers a dynamic and supportive work environment for part-time Data Quality & AI Research Analysts in Greater London, where employees are encouraged to develop their analytical skills while contributing to cutting-edge AI projects. With competitive hourly rates and a focus on employee growth, Obsidian fosters a culture of collaboration and innovation, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & AI Research Analyst (Part-Time)
✨Tip Number 1
Make sure to brush up on your research and analytical skills before the interview. We want to show that you can evaluate AI-generated outputs like a pro, so practice explaining your thought process clearly.
✨Tip Number 2
Attention to detail is key! During your prep, try reviewing some sample data outputs and think about how you would annotate them. This will help you demonstrate your meticulous nature when it comes to quality control.
✨Tip Number 3
Don’t forget to showcase your written communication skills! We recommend preparing a few examples of how you've effectively communicated complex information in the past. This will help you stand out as a candidate who can flag quality issues clearly.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Data Quality & AI Research Analyst (Part-Time)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your research and analytical skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or tasks you've tackled.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're interested in the Data Quality & AI Research Analyst position and how your attention to detail makes you a perfect fit for our team.
Showcase Your Communication Skills:Since excellent written communication is key for this role, ensure your application is clear and concise. We appreciate well-structured writing that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role as soon as possible!
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 outlined.
✨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 provide feedback on data quality, so being able to communicate effectively will set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's approach to data quality and AI. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers and leave a lasting impression.
