At a Glance
- Tasks: Evaluate AI responses and enhance personalization features using your own experiences.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: 100% remote work, flexible schedule, and potential for contract extension.
- Other info: Dynamic team environment with opportunities for growth and creativity.
- Why this job: Make a real impact on AI technology while working from anywhere.
- Qualifications: 1+ years in data annotation or AI evaluation; strong analytical skills required.
The predicted salary is between 30000 - 40000 £ per year.
Contract duration: 03 Months + (possible extension)
Location: 100% Remote (UK, Ireland, Malta)
Shift/schedule: 40 hours per week with 4 hours of overlap with PST.
Experience: 1+ years
Special requirements:
- Ability to read and write in English with a high degree of competency, as English is the focus language for this project.
- Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
- Full-time availability in your local time zone is required. We are staffing a global, 24-hour operations team.
- Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
Key Qualifications:
- Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.
- BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
- Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
- Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
- The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and over-narrating.
- Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
- Ability to provide constructive feedback and detailed annotations.
- Excellent communication and collaboration skills.
- Self-motivated and able to work independently in a remote setting.
- Desktop/Laptop set up with a good internet connection.
Description:
In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
- Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
- Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
- Analysing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
- Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "over narrating".
- Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
- Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
- Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
- Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.
Education & Experience:
- BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
- Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.
Evaluation Process:
Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre-onboarding requirements.
Quality Analyst in Chesterfield employer: Oak Tree Software
As a Quality Analyst at our innovative company, you will thrive in a fully remote environment that champions flexibility and work-life balance. We foster a collaborative culture where your analytical skills and creativity are valued, offering ample opportunities for professional growth and development in the rapidly evolving field of AI. Join us to be part of a dynamic team dedicated to enhancing user experiences through cutting-edge technology, all while enjoying the unique advantage of working from anywhere in the UK, Ireland, or Malta.
StudySmarter Expert Advice🤫
We think this is how you could land Quality Analyst in Chesterfield
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We think you need these skills to ace Quality Analyst in Chesterfield
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oak Tree Software, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Oak Tree Software, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Oak Tree Software’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oak Tree Software
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Oak Tree Software.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Oak Tree Software.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Oak Tree Software.