About the job
At Turnitin, we recognize that AI and data science are essential to our success and ambitious product roadmap. Exceptional AI starts with quality data. By joining us as a Senior AI Data Engineer, you will be part of a global team of proactive and supportive professionals dedicated to delivering advanced AI and data systems. You will play a key role in developing our next-generation data and AI pipelines, amplifying our team's impact. Moreover, your collaboration with various teams within Turnitin will integrate AI and data science across a diverse range of products aimed at enhancing learning, teaching, and academic integrity.
Key Responsibilities
- AI Data Infrastructure & Pipeline Management: Design, build, and manage scalable real-time data pipelines to support ongoing Applied AI model training. Implement and maintain robust data infrastructure using AI techniques and engineering best practices to facilitate continuous model enhancement and deployment cycles.
- Data Collection: Lead initiatives for gathering, normalizing, and storing data from diverse sources, including external LLM providers.
- Collaboration: Work closely with AI R&D, Applied AI, and Data Platform teams to ensure smooth data flow and adherence to quality standards. Collaborate with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.
- AI R&D Support: Provide secondary support to AI Research & Development initiatives by employing advanced data warehousing and engineering technologies. Contribute to exploratory data projects that extract insights from Turnitin's extensive data resources.
- Communication: Foster clear communication across teams, ensuring alignment with the company's vision while discussing data infrastructure requirements and potential innovations.
- Technology Evolution: Stay abreast of emerging tools and methodologies in AI data engineering, offering recommendations to enhance our AI data infrastructure and capabilities.
