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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 relevant experience in web application testing, automation, and data analysis. Emphasise your skills in Python or Java, as well as any experience with REST APIs and CI/CD pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI quality engineering. Mention specific projects or experiences that demonstrate your ability to analyse complex datasets and develop automated tests.
Showcase Your Communication Skills: Since the role requires effective communication with both technical and non-technical team members, provide examples in your application of how you've successfully collaborated across different teams.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI detection systems, automation, or data analysis. This shows your commitment to staying updated on industry trends and techniques.
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, especially those involving REST APIs, as this will demonstrate your technical proficiency.
✨Demonstrate Data Analysis Expertise
Since the role involves analysing complex datasets, come equipped with examples of how you've uncovered patterns or trends in data. Discuss any relevant tools or methodologies you've used, and be ready to explain your thought process.
✨Emphasise Team Collaboration
This position requires acting as a communication bridge between technical and non-technical teams. Share experiences where you've successfully facilitated collaboration, ensuring everyone is aligned and informed, which will show your interpersonal skills.
✨Prepare for Knowledge Sharing Scenarios
Expect questions about how you would guide team members on new techniques or processes. Think of examples where you've trained or mentored others, and be ready to discuss your approach to knowledge sharing and continuous improvement.
