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, flexible hours, and gain valuable experience.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: Experience in data management and a keen eye for detail.
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 Coventry 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 through hands-on experience with cutting-edge technologies. Located in a vibrant area, we offer competitive pay rates and flexible working arrangements, making it an ideal environment for graduates eager to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Quality Analyst (Graduate Role) in Coventry
✨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 Coventry
Some tips for your application 🫡
Show Off Your Data Skills:When you're writing your application, make sure to highlight any experience you have with data entry, processing, or management. We want to see how you've maintained accuracy and attention to detail in your past roles, so don’t hold back!
Be Clear and Concise:Your written communication skills are key for this role. Keep your application clear and to the point. Use simple language and avoid jargon unless it’s relevant. We appreciate clarity just as much as you do!
Tailor Your Application:Make sure to customise your application to fit the job description. Mention specific technologies and tools you’re familiar with, like Excel or SQL, and relate them to the tasks you'll be doing with us. It shows you’ve done your homework!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Prolific
✨Know Your Data Tools
Familiarise yourself with the data tools mentioned in the job description, like Microsoft Excel and SQL. Be ready to discuss your experience with these platforms and how you've used them in past roles or projects.
✨Showcase Your Attention to Detail
Prepare examples that highlight your accuracy and attention to detail. Think of specific instances where you identified errors in large datasets 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, practice explaining complex data concepts clearly and concisely. You might even want to prepare a short presentation on a data-related topic to demonstrate your communication prowess.
✨Be Ready for Practical Assessments
Expect to complete a brief assessment during the interview process. Brush up on your data entry speed and accuracy, and consider doing some mock assessments to get comfortable with the format and expectations.
