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 - 25000 £ 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 Bristol 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 Bristol
✨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 and scenarios related to data quality and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Bristol
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 the role, 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 AI Data Quality Analyst role and how your background makes you a perfect fit. Keep it engaging and relevant to what we’re looking for.
Show Off Your Data Skills:Mention any tools or technologies you’re familiar with, like Excel or SQL. We love seeing candidates who can demonstrate their data literacy and understanding of validation rules, so make sure to include that in your application!
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 to do!
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. Brush up on your skills and be ready to discuss how you've used these tools in past experiences 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. This will demonstrate your fit for the role.
✨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 showcase your communication prowess.
✨Be Ready for Practical Assessments
Expect to complete a brief assessment during the interview process. Practise data entry tasks and review AI-generated outputs beforehand so you can confidently tackle any practical challenges they throw your way.
