Data Entry Clerk AI Training Jobs Glasgow 2026: Prolific Remote Network

Data Entry Clerk AI Training Jobs Glasgow 2026: Prolific Remote Network

Glasgow Part-Time 25 - 25 £ / hour (est.) Working from home possible
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At a Glance

  • Tasks: Evaluate and annotate AI data outputs to help train next-gen AI models.
  • Company: Join Prolific, a leader in ethical AI data sourcing.
  • Benefits: Earn up to $25/hr, work remotely, and enjoy flexible hours.
  • Other info: Quick onboarding process with excellent career growth potential.
  • Why this job: Make a real impact on AI technology while working from home.
  • Qualifications: Experience in data entry and strong attention to detail required.

The predicted salary is between 25 - 25 £ per hour.

Shape the future of ethical artificial intelligence from Glasgow in 2026 by joining Prolific’s Expert Network as a Remote Data Entry Clerk, earning up to $25/hr by evaluating and annotating cutting-edge AI data outputs.

Job Details

  • Organization: Prolific (Expert Network)
  • Location: Remote (Glasgow, Scotland, United Kingdom)
  • Pay Rate: Up to $25 / Hour (Paid via PayPal)
  • Employment Type: Part-Time, Contract / Freelance

Core Functions: Evaluating AI outputs, annotating data, auditing datasets

Primary Tools: MS Excel, Google Sheets, Airtable, SQL, MS Access, Notion

Are you a graduate or high-accuracy data specialist based in Glasgow looking for a flexible, high-paying remote role? Prolific, a world-leading platform for ethically sourced human data, is expanding its Expert Network. We are actively onboarding Data Entry Specialists to help train, audit, and evaluate cutting-edge AI models developed by over 35,000 top AI researchers and global organizations. This part-time, contract role pays up to $25 per hour and allows you to work entirely from home on your own schedule. If you have a keen eye for detail, strong typing speed, and experience navigating database software, this is your entry point into the lucrative AI training industry in 2026.

The Role: Training Next-Generation AI Models

The next leap in artificial intelligence depends on human data quality. As a Data Entry Clerk in Prolific’s Expert Network, you will simulate complex data entry tasks, audit AI-generated spreadsheets, and tag datasets so that machine learning models learn how to process messy inputs, spot logical errors, and handle edge cases accurately.

Key Responsibilities Include:

  • Evaluate AI Data Outputs: Review AI-generated records, extractions, and data entries for completeness, factual correctness, and proper formatting.
  • Simulate Data Entry Tasks: Create realistic edge-case scenarios to test how AI models respond to conflicting, ambiguous, or unformatted input data.
  • Audit AI-Generated Datasets: Inspect AI outputs for errors in categorization, field mapping, or labeling, flagging discrepancies against strict quality rubrics.
  • Data Annotation & Labeling: Tag, classify, and format data samples to teach AI models correct validation rules and data structures.
  • Quality Assurance: Benchmark AI performance against established data administration standards.

Required Qualifications & Competencies

To pass the initial 10- to 15-minute skill assessment and qualify for high-paying AI evaluation tasks, applicants must meet the following criteria:

  • Professional Experience: Proven background in high-volume data entry, records administration, database management, or data processing.
  • Speed & Accuracy: Exceptional typing speed combined with a sharp eye for duplicate records, formatting inconsistencies, and minor data errors.
  • Data Literacy: Comfort working with validation rules and structured datasets to quickly spot logical or factual errors in AI outputs.
  • Communication: Solid written English proficiency to evaluate textual clarity, syntax, and accuracy. (Multilingual skills are a major plus).
  • Technical Toolset: Proficiency with spreadsheet tools like Microsoft Excel, Google Sheets, or databases such as Airtable, SQL, or MS Access. Familiarity with CRMs, ERPs, Confluence, or Notion is beneficial.
  • Payment Requirement: An active PayPal account to receive fast, seamless client payouts.

Why Join Prolific as an AI Participant in 2026?

  • Competitive Hourly Pay: Earn up to $25/hr for specialized, high-accuracy data tasks.
  • Ultimate Flexibility: Work 100% remotely from home in Glasgow or anywhere in the UK. Choose tasks that fit your daily schedule (tasks range from quick checks to 1-hour focus sessions).
  • Rapid Onboarding: Complete a brief 10–15 minute assessment. Once approved, setup takes under 15 minutes.
  • Impactful Work: Help build aligned, accurate, and human-centered AI systems that power the next wave of global technology.

FAQ

  • How much does the Prolific AI Data Entry Clerk role pay? Researchers on the Prolific platform pay up to $25 per hour for specialized graduate-level data entry and evaluation tasks.
  • How are payments distributed to participants? Payments are sent directly to your verified PayPal account upon completion and review of tasks.
  • Do I need to live in Glasgow to apply? While this listing targets candidates in Glasgow, Scotland, the role is 100% remote and open to eligible residents across the United Kingdom.
  • What is the selection process for joining the network? Applicants take a short 10 to 15-minute online skill assessment testing attention to detail and data literacy. Successful applicants can join the platform in 15 minutes.

Data Entry Clerk AI Training Jobs Glasgow 2026: Prolific Remote Network employer: Aptub

Prolific is an exceptional employer for graduates and data specialists in Glasgow, offering a unique opportunity to work remotely while earning up to $25 per hour. With a focus on ethical AI development, employees enjoy ultimate flexibility, impactful work, and rapid onboarding, all within a supportive culture that values analytical skills over traditional data entry tasks.

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Contact Details:

Aptub Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Entry Clerk AI Training Jobs Glasgow 2026: Prolific Remote Network

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Aptub.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Aptub and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Data Entry Clerk AI Training Jobs Glasgow 2026: Prolific Remote Network

Data Entry
Attention to Detail
Typing Speed
Database Management
Data Processing
Data Annotation
Quality Assurance

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Aptub aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Aptub

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Aptub.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Aptub.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Aptub, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Aptub will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.