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- Tasks: Join our team to ensure top-notch quality in AI detection systems through research, data analysis, and automation.
- Company: Turnitin is a leading tech company focused on maintaining integrity in academic and professional work.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, collaborating with diverse teams and making a real impact.
- Qualifications: 3+ years in web testing, automation, and data analysis; strong Python or Java skills required.
- Other info: Ideal for those passionate about AI and eager to innovate in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
The department of Quality Engineering (under Technology) plays a crucial role in the software development process. This department is primarily responsible for ensuring that software products being developed within the Technology org at Turnitin meet or exceed predetermined quality standards.
Responsibilities:
- Research: Stay updated on trends and techniques related to bypassing AI detection systems; proactively share relevant findings with the team.
- Data Analysis: Aggregate, organise, and analyse data to uncover patterns, trends, and vulnerabilities in AI detection mechanisms.
- Automation & Solution Strategy: Identify high-ROI automation opportunities for testing AI detection systems. Develop, maintain, and improve automated test coverage and contribute to overall solution design.
- Team Collaboration: Act as a central communication point between technical and non-technical team members to ensure alignment and information flow.
- Documentation & Process Improvement: Create, maintain, and regularly update clear documentation and reports covering methods, tools, test strategies, vulnerabilities, and impact assessments; continuously improve related processes to meet evolving needs.
- Knowledge Sharing: Provide guidance and occasional training to team members on recognising and responding to new bypass techniques.
Qualifications Requirements:
- 3+ years of combined experience in web application testing, automation, and data analysis.
- Proven ability to develop and maintain automated tests (using Python or Java, Pytest, REST Assured, or similar), including integration with REST APIs.
- Experience with prompt engineering and LLM APIs.
- Understanding of the ML lifecycle (training, fine-tuning, eval), Generative AI, and related technologies.
- Capable of analysing complex datasets to identify patterns, trends, and anomalies related to AI detection bypass techniques.
- Experience with version control (Git) and CI/CD pipelines.
- Experience with API testing.
- Excellent written and verbal English for effective cross-team communication, including with non-technical stakeholders.
- Working knowledge of Excel or Google Sheets (including formulas).
- Experience leading or mentoring teams in test automation initiatives.
Nice to Have:
- Exposure to security testing or red-teaming, especially related to NLP or AI systems.
AI Quality Engineer (UK Remote) employer: Korn Ferry
Contact Detail:
Korn Ferry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Quality Engineer (UK Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in AI detection systems and bypass techniques. This knowledge will not only help you during interviews but also demonstrate your proactive approach to staying updated in a rapidly evolving field.
✨Tip Number 2
Showcase your experience with automation tools and frameworks relevant to the role, such as Python or Java. Be prepared to discuss specific projects where you've successfully implemented automated testing strategies, as this will highlight your hands-on expertise.
✨Tip Number 3
Emphasise your ability to communicate effectively with both technical and non-technical team members. Prepare examples of how you've facilitated collaboration in past roles, as this is crucial for the team-oriented environment at StudySmarter.
✨Tip Number 4
Consider brushing up on your data analysis skills, particularly in identifying patterns and anomalies. Being able to discuss your analytical approach and any tools you've used will set you apart from other candidates.
We think you need these skills to ace AI Quality Engineer (UK Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in web application testing, automation, and data analysis. Emphasise any specific projects where you've developed automated tests using Python or Java, as well as your familiarity with REST APIs.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the AI Quality Engineer position. Discuss your understanding of the ML lifecycle and how your skills align with the responsibilities outlined in the job description, particularly in relation to automation and data analysis.
Showcase Relevant Experience: When detailing your work experience, focus on specific achievements that demonstrate your ability to analyse complex datasets and identify patterns related to AI detection bypass techniques. Use quantifiable results where possible to illustrate your impact.
Prepare for Technical Questions: Be ready to discuss your experience with version control, CI/CD pipelines, and API testing during the interview process. Brush up on your knowledge of prompt engineering and LLM APIs, as these are relevant to the role.
How to prepare for a job interview at Korn Ferry
✨Showcase Your Technical Skills
Be prepared to discuss your experience with automation tools and languages like Python or Java. Highlight specific projects where you've developed automated tests or worked with REST APIs, as this will demonstrate your technical proficiency.
✨Demonstrate Data Analysis Expertise
Since the role involves analysing complex datasets, be ready to share examples of how you've identified patterns or trends in data. Discuss any tools or methodologies you used, and how your findings impacted previous projects.
✨Emphasise Team Collaboration
This position requires effective communication between technical and non-technical team members. Prepare to give examples of how you've successfully collaborated in past roles, ensuring that everyone was aligned and informed.
✨Prepare for Knowledge Sharing Scenarios
As part of the role, you'll need to guide and train team members. Think of instances where you've shared knowledge or mentored others, and be ready to discuss your approach to teaching complex concepts in an accessible way.
