At a Glance
- Tasks: Evaluate AI responses for personalization and quality, using your creativity and analytical skills.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Flexible part-time hours, remote work, and the chance to shape AI technology.
- Other info: Work independently while collaborating with a global team in a dynamic environment.
- Why this job: Make a real impact on AI by enhancing user experiences with personalised interactions.
- Qualifications: Strong English skills, analytical thinking, and experience in AI evaluation preferred.
The predicted salary is between 30000 - 40000 £ per year.
Location: United Kingdom
Employment Type: Contractor (Short-Term Contract)
Working Hours: Minimum 20 hours per week (Part-Time Availability), at least 4 hours per day. Required overlap with PST time zone: Minimum 2 hours for part-time engagements, up to 4 hours for full project participation.
Role Overview: Client is seeking AI Quality Analysts to evaluate a new personalization feature for Gemini. In this role, you will assess how effectively the AI model utilizes information from previous Gemini conversations, Gmail, Google Search history, and YouTube activity to generate responses that are relevant, personalized, and genuinely helpful. The ideal candidate combines creativity with analytical rigor, designing prompts based on personal experiences and evaluating model outputs against multiple quality dimensions, including grounding, integration, helpfulness, and naturalness.
Key Responsibilities:
- Design and execute multi-turn conversational prompts (typically 1–5 turns) using your own experiences and context.
- Evaluate AI-generated responses to determine whether personalization has been appropriately applied.
- Assess response quality based on relevance, grounding, integration, and overall helpfulness.
- Identify hallucinations, unsupported assumptions, flawed inferences, and inappropriate personalization.
- Review and compare Side-by-Side (SxS) model outputs to determine which response performs better overall.
- Rank model responses based on usability, helpfulness, naturalness, and user experience.
- Write clear, concise, and evidence-based rationales supporting model rankings.
- Reference specific conversation turns when documenting observations and evaluation outcomes.
- Extract and verify debugging information to confirm the appropriate use of summaries and personal data sources.
- Maintain strict data hygiene practices by deleting evaluation conversations after completion.
- Provide detailed annotations and constructive feedback to support model improvement initiatives.
- Work independently while collaborating effectively within a globally distributed team.
Key Qualifications:
- Excellent English proficiency with strong reading and writing skills.
- Ability to understand nuanced instructions and communicate clearly in written form.
- Willingness to use a primary personal Google account (not a testing account) and enable personal data sources for authentic evaluations.
- Strong analytical thinking with the ability to assess ambiguous and nuanced AI outputs.
- Experience designing creative prompts that effectively test personalization capabilities.
- Understanding of personalization concepts, including identifying incorrect personalization, unsupported assumptions, forced connections, and poor inferences.
- Strong attention to detail with the ability to detect subtle differences between responses.
- Excellent written communication skills for producing structured evaluation rationales.
- Ability to provide constructive feedback and detailed annotations.
- Strong communication and collaboration abilities.
- Self-motivated with the ability to work independently in a remote environment.
- Reliable desktop or laptop setup with a stable internet connection.
Required Skills & Experience:
- Experience in data annotation, AI quality evaluation, content moderation, or similar analytical roles is strongly preferred.
- Familiarity with evaluating AI-generated content and identifying quality issues.
- Experience reviewing comparative outputs and making evidence-based judgments is advantageous.
- Strong critical thinking and decision-making skills.
Education: Bachelor's degree (BS/BA) or equivalent experience in a relevant field such as Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or other analytical disciplines. Equivalent professional experience will also be considered.
Special Requirements:
- English Proficiency: High level of comprehension and written communication in English.
- Personal Account Usage: Must be willing to use a personal Google account for evaluation purposes.
- Schedule Flexibility: Availability to support global 24-hour operations.
- Technical Requirements: Access to a desktop or laptop with a dependable internet connection.
Availability Requirements: United Kingdom. Full-time availability required. 8 hours per day. Minimum 4-hour overlap with the PST time zone.
Locations
LLM - AI Quality Analyst in Cheshire, Warrington employer: ALOIS UK
As an AI Quality Analyst at our company, you will be part of a dynamic and innovative team dedicated to enhancing AI personalization features. We offer a flexible work culture that values creativity and analytical thinking, providing opportunities for professional growth in the rapidly evolving field of AI. With a commitment to employee well-being and a collaborative environment, this role allows you to contribute meaningfully while enjoying the benefits of remote work from the United Kingdom.
StudySmarter Expert Advice🤫
We think this is how you could land LLM - AI Quality Analyst in Cheshire, Warrington
✨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 ALOIS UK.
✨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 ALOIS UK 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 LLM - AI Quality Analyst in Cheshire, Warrington
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 ALOIS UK 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 ALOIS UK
✨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 ALOIS UK.
✨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 ALOIS UK.
✨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 ALOIS UK, 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 ALOIS UK 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.
