At a Glance
- Tasks: Evaluate and improve AI models using real data expertise and innovative techniques.
- Company: Join a forward-thinking tech company in Edinburgh focused on AI advancements.
- Benefits: Earn up to $25 per hour, flexible hours, and gain valuable experience.
- Other info: Dynamic role with opportunities for growth and learning in AI.
- Why this job: Be at the forefront of AI technology 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 - Edinburgh, UK employer: Prolific
Join a forward-thinking company in Edinburgh 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 - Edinburgh, UK
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms and let them know you're on the hunt for a Database Administrator role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your data skills. Make sure you can talk confidently about your experience with data entry, processing, and management. We want to see that you can handle real-world scenarios, so practice explaining how you'd tackle common database challenges.
✨Tip Number 3
Show off your attention to detail! During interviews or assessments, highlight specific examples where you've maintained accuracy in large datasets. This is key for us, especially when evaluating AI outputs, so make it clear that you’ve got this covered.
✨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 engage directly with us.
We think you need these skills to ace Database Administrator - Graduates - AI Training - Edinburgh, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data entry, processing, and 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 enthusiasm and a personal touch, so let your personality come through.
Show Off Your Data Skills:Since this role involves evaluating AI outputs, make sure to mention any relevant tools or technologies you’re familiar with, like Excel or SQL. We’re keen on candidates who can demonstrate their data literacy and problem-solving abilities.
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 – just follow the prompts and submit your materials!
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 experience where you've maintained high accuracy rates in data entry or management. Highlight specific instances where you caught errors or improved processes, 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 would explain complex data concepts 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 prowess.
✨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, especially in relation to data processing. Brush up on common AI terminology and be ready to discuss how you would approach assessing AI data outputs.
