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 Liverpool employer: Prolific
Join our dynamic team as an AI Data Quality Analyst, where you'll play a crucial role in shaping the future of AI technology. We pride ourselves on fostering a collaborative work culture that values accuracy and innovation, offering competitive pay for your contributions and opportunities for professional growth in the rapidly evolving field of AI. Located in a vibrant area, our company provides a supportive environment that encourages continuous learning and development, making it an excellent choice for graduates eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Quality Analyst (Graduate Role) in Liverpool
✨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 valuable personal connections can be in landing that dream job.
✨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 boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio or a GitHub repository with examples of your work, especially if you’ve done any data-related projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace AI Data Quality Analyst (Graduate Role) in Liverpool
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight any experience you have with data entry, processing, or management. We want to see your accuracy and attention to detail shine through in your application!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to demonstrate your communication skills, as we value clarity in assessing AI-generated text.
Tailor Your Application:Don’t just send a generic application! Tailor it to the role by mentioning specific experiences that relate to evaluating AI data outputs and quality assurance. We love seeing how you connect your background to what we do.
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 this exciting opportunity!
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 about technical topics.
✨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 be ready to discuss how you would evaluate AI-generated outputs, as this will demonstrate your readiness to engage with the core responsibilities of the position.
