At a Glance
- Tasks: Evaluate and improve AI models using real data expertise and innovative techniques.
- Company: Join a forward-thinking tech company in Liverpool focused on AI training.
- Benefits: Earn up to $25 per hour, flexible hours, and gain valuable experience.
- 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 management 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.
Database Administrator - Graduates - AI Training - Liverpool, UK employer: Prolific
Join a forward-thinking company in Liverpool that values innovation and precision, offering graduates the chance to work on cutting-edge AI training projects. With a strong emphasis on employee growth, you will benefit from hands-on experience in data management while enjoying a collaborative work culture that encourages continuous learning and development. Our competitive pay rates and flexible task structures make this an ideal opportunity for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Database Administrator - Graduates - AI Training - Liverpool, UK
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the lookout for opportunities as a Database Administrator. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Prepare for interviews by practising common questions related to database management and AI training. We recommend doing mock interviews with friends or using online resources. The more comfortable you are, the better you'll perform when it counts!
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with data entry, processing, and any relevant projects. This will give potential employers a clear view of what you can bring to the table, especially in evaluating AI models.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Database Administrator - Graduates - AI Training - Liverpool, 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 perfect fit. We love seeing genuine enthusiasm and a clear understanding of what we do.
Show Off Your Data Skills:Mention any tools or technologies you’re familiar with, like Excel or SQL. If you've worked with AI or data quality assurance before, let us know! We’re keen on candidates who can hit the ground running.
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. Plus, it’s super easy!
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 quality assurance.
✨Practice Your Communication Skills
Since solid written English skills are crucial, consider practising how you articulate your thoughts clearly and concisely. You might even want to prepare a short explanation of a complex data issue you've encountered, as this will showcase your ability to communicate effectively.
✨Familiarise Yourself with AI Concepts
Since the role involves evaluating AI-generated outputs, it’s beneficial to have a basic understanding of how AI works in data processing. Brush up on common AI terminology and be ready to discuss how you would approach assessing the quality of AI outputs.
