Turnitin is a global education technology leader recognized for promoting honesty, consistency, and fairness in academic institutions. The company operates a remote-first culture with team members across 35+ countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. As a Senior AI Data Engineer, you will join a global team designing and building scalable real-time data pipelines to support AI model training and deployment. Key responsibilities include: - Design, build, and operate scalable real-time data pipelines for Applied AI model training - Deploy and maintain robust data infrastructure using AI techniques and engineering best practices - Execute data collection initiatives across multiple sources, including external LLM providers - Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards - Collect, curate, and catalog high-quality datasets supporting Applied AI retraining workflows - Provide support to AI Research & Development efforts through advanced data warehousing technologies - Contribute to exploratory data initiatives uncovering insights from extensive data resources - Stay current with emerging tools and methodologies in AI data engineering Required Qualifications: - At least 4 years of data engineering experience, ideally focused on AI/ML data infrastructure - Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation) - Experience with modern orchestration frameworks (Airflow, Prefect, dbt) - Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, Chroma) - Experience with MLOps tools (HuggingFace, SageMaker, Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases) - Experience with Large Language Models, embedding generation, RAG systems, and LLM orchestration frameworks - Strong problem-solving, analytical, and communication skills Desired Qualifications: - 6+ years of data engineering experience focused on AI and machine learning - Technical leadership or mentorship experience - Background in education, EdTech, or academic integrity sectors - Experience with AI coding tools (Cursor, Claude Code, GitHub Copilot) - Familiarity with NLP, computer vision, or multimodal AI applications - Experience with data visualization tools (Streamlit) Turnitin offers competitive total rewards including remote-first work flexibility, generous paid time off (4 self-care days plus national holidays), health care coverage, education reimbursement, wellness reimbursement, mental health platform access, parental leave, and retirement plan matching. The company emphasizes a collaborative, inclusive workplace culture free of politics with a global mindset respecting local cultures and diversity.