At a Glance
- Tasks: Evaluate and improve AI data outputs while ensuring accuracy and consistency.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Earn up to $25 per hour with flexible, paid tasks.
- Other info: Dynamic role with opportunities for growth in the AI field.
- Why this job: Make a real impact on AI development while honing your data skills.
- Qualifications: Experience in data entry and a keen eye for detail required.
The predicted salary is between 20000 - 30000 £ per year.
We are looking for a Database Administrator to join our Expert Network and help train and evaluate cutting‑edge AI models using real data expertise. Successful candidates will complete a brief assessment and, upon passing, will be invited to participate in paid tasks evaluating AI models. Researchers typically pay up to $25 per hour for tasks that may require one hour of uninterrupted work, though many are shorter.
What You'll Bring
- Professional Experience: years of experience in high-volume data entry, data processing, database management, or records administration.
- Accuracy & Attention to Detail: a proven track record of maintaining high accuracy rates across large datasets, with a sharp eye for inconsistencies, duplicates, and formatting errors.
- Speed & Efficiency: high typing speed and the ability to process structured and unstructured data quickly without sacrificing quality.
- Data Literacy: familiarity with data formats, validation rules, and the ability to identify when AI-generated outputs contain logical or factual errors.
- Communication Skills: solid written English skills sufficient to assess clarity and correctness in AI-generated text.
- Language Proficiency: multilingual capabilities are a significant plus, especially for evaluating data quality across localized datasets.
- A PayPal account to receive payment from our clients.
What You'll Be Doing in the Role
- Evaluate AI Data Outputs: review AI-generated data entries, extractions, and structured records for accuracy, completeness, and formatting consistency.
- Simulate Data Entry Tasks: create realistic data entry scenarios and edge cases to test how AI handles messy inputs, ambiguous fields, or conflicting records.
- Audit AI-Generated Datasets: review AI-produced data for errors in categorisation, labelling, or field mapping, and flag issues against standard data quality rubrics.
- Annotation & Labelling: tag and classify data samples to help AI models learn correct data structures, formats, and validation rules.
- Quality Assurance: compare AI outputs against established data entry standards to ensure they meet professional accuracy and consistency benchmarks.
Key Technologies
- Data Tools: proficiency with Microsoft Excel, Google Sheets, or database platforms such as Airtable, SQL, or Access.
- Data Management Systems: experience with CRM platforms, ERP systems, or document management tools.
- Documentation: familiarity with Confluence, Notion, or similar platforms for referencing data standards and internal guidelines.
AI Data Quality Analyst (Graduate Role) in Glasgow employer: Prolific
Join a forward-thinking company that values innovation and precision in the realm of AI data management. As an AI Data Quality Analyst, you'll benefit from a collaborative work culture that prioritises employee growth and offers competitive pay for your contributions. Located in a vibrant area, our organisation provides unique opportunities to engage with cutting-edge technology while fostering a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Quality Analyst (Graduate Role) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by practising common questions related to data quality and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you’ve worked on any data-related tasks, even if they’re personal projects, share them! We love seeing practical examples of your work.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace AI Data Quality Analyst (Graduate Role) in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data entry and database management. We want to see how your skills match the role, so don’t be shy about showcasing your accuracy and attention to detail!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Data Quality Analyst role and how your background makes you a perfect fit. Keep it concise but engaging!
Show Off Your Data Skills:Mention any tools or technologies you’re familiar with, like Excel or SQL. We love seeing candidates who can hit the ground running, so highlight your data literacy and any relevant projects you've worked on.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the process. Plus, it shows you’re keen to join the StudySmarter team!
How to prepare for a job interview at Prolific
✨Know Your Data Tools
Make sure you brush up on your skills with Microsoft Excel, Google Sheets, and any database platforms mentioned in the job description. Being able to demonstrate your proficiency during the interview will show that you're ready to hit the ground running.
✨Showcase Your Attention to Detail
Prepare examples from your past experiences where you've maintained high accuracy rates in data entry or processing. Highlight specific instances where you caught errors or inconsistencies, as this will resonate well with the role's focus on data quality.
✨Practice Your Communication Skills
Since solid written English skills are crucial, consider practising how you would explain complex data issues clearly and concisely. You might even want to prepare a short presentation or explanation of a data-related project you've worked on to showcase your communication abilities.
✨Familiarise Yourself with AI Concepts
Understanding the basics of AI and how it interacts with data is key for this role. Brush up on common AI terminology and think about how you can apply your data expertise to evaluate AI outputs effectively. This will help you stand out as a candidate who is not just technically skilled but also knowledgeable about the field.
