About the job
At Turnitin, we recognize that the foundation of exceptional AI lies in superior data management. As a Senior AI Data Engineer, you will become an essential member of our innovative global team, dedicated to developing cutting-edge AI and data systems. Your contributions will play a pivotal role in creating the next generation of data and AI pipelines, amplifying the impact of our initiatives. Collaborating with diverse teams across Turnitin, you will facilitate the integration of AI and data science into a wide range of products aimed at enhancing educational experiences and promoting academic integrity.
Key Responsibilities
- AI Data Infrastructure & Pipeline Management: Design, construct, and manage scalable, real-time data pipelines that enable ongoing training of Applied AI models. Implement and uphold robust data infrastructure using AI methodologies and best engineering practices to facilitate continuous model enhancements.
- Data Collection: Lead efforts to gather, normalize, and store data from various sources, including external LLM providers.
- Collaboration: Work closely with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and adherence to quality standards. Collaborate with stakeholders to gather, curate, and document high-quality datasets that directly support Applied AI workflows and business goals.
- AI R&D Support: Provide additional support to AI Research & Development by leveraging advanced data warehousing and engineering technologies. Engage in exploratory data projects that extract insights from Turnitin's vast data repositories.
- Communication: Foster clear communication across teams, ensuring alignment with the company’s vision while conveying insights regarding data infrastructure needs and innovative possibilities.
- Technology Evolution: Stay abreast of emerging tools and methodologies in AI data engineering, providing recommendations to enhance our data infrastructure and capabilities.

