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Senior AI Data Engineer - Remote Opportunity

Remote Full-time

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Experience Level

Mid to Senior

Qualifications

Required Qualifications:A minimum of 4 years of experience in data engineering, preferably with a focus on AI/ML data infrastructure or advancing AI R&D. Proficient in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with experience in modern orchestration frameworks (Airflow, Prefect, or dbt). Familiarity with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma). Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines. Knowledge of Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interactions (LiteLLM, LangFuse, LangChain, LlamaIndex). Excellent problem-solving, analytical, and communication skills, with the capacity to convey complex concepts effectively.

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.

About Turnitin, LLC

Joining Turnitin means being part of a recognized innovator in global education. For over 25 years, we have partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Our services, including Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate, are utilized by over 21,000 academic institutions, publishers, and corporations. We offer a remote-centric culture that empowers you to work purposefully and responsibly in a manner that suits your needs, supported by a comprehensive benefits package that prioritizes your well-being. Our diverse team is united by a shared mission to make a significant impact in education. Turnitin operates globally with team members in over 35 countries, including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

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