At a Glance
- Tasks: Evaluate and improve AI models using real data expertise and innovative techniques.
- Company: Join a forward-thinking tech company in Glasgow focused on AI training.
- Benefits: Earn up to $25 per hour for flexible, paid tasks that fit your schedule.
- Other info: Dynamic role with opportunities for growth in the exciting field of AI.
- Why this job: Make a real impact on AI development while honing your data skills.
- Qualifications: Experience in data management and a keen eye for detail are essential.
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.
Database Administrator - Graduates - AI Training - Glasgow, UK employer: Prolific
Join our dynamic team in Glasgow as a Database Administrator, where you'll play a pivotal role in training and evaluating innovative AI models. We pride ourselves on fostering a collaborative work culture that values accuracy and efficiency, offering competitive pay for your contributions and opportunities for professional growth in the rapidly evolving field of AI. With a focus on employee development and a supportive environment, we ensure that every team member can thrive while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Database Administrator - Graduates - AI Training - Glasgow, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. The more connections we make, the better our chances of landing that Database Administrator gig.
✨Tip Number 2
Practice makes perfect! Get familiar with the tools mentioned in the job description, like Excel and SQL. We can even set up mock tasks to sharpen our skills before the real deal.
✨Tip Number 3
Show off your attention to detail! When evaluating AI outputs, highlight any inconsistencies you find. This will demonstrate our keen eye for accuracy, which is crucial for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for fresh talent to join our Expert Network.
We think you need these skills to ace Database Administrator - Graduates - AI Training - Glasgow, UK
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 what we're looking for, 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 role and how your background makes you a great fit. We love seeing genuine enthusiasm for AI and data work.
Show Off Your Data Skills:Mention any tools or technologies you’re familiar with, like Excel or SQL. If you've worked with data management systems before, let us know! This will help us see your potential in evaluating AI models.
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 don’t miss out on any important updates from our 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 maintained high accuracy rates in data entry or processing. Highlight specific instances where you caught errors or improved data quality, as this will resonate well with the role's requirements.
✨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 on a data-related topic to showcase your ability to communicate effectively.
✨Familiarise Yourself with AI Concepts
Understanding the basics of AI and how it interacts with data will give you an edge. Research common challenges AI faces with data accuracy and be ready to discuss how you can help improve these areas based on your expertise.
