Remote Data Jobs

As a Senior Data Engineer focused on Data Quality Assurance, Data Governance & Compliance, you will work alongside the team to implement data quality practices, define data governance policies, and ensure compliance with data privacy regulations. You’ll help automate testing, monitor data quality, and enforce best practices for handling customer data.

Play a key role in advancing AI-driven content solutions. You'll leverage your editing skills to refine written materials for clarity, accuracy, and structure, while training state-of-the-art AI systems to achieve editorial excellence. This is an exciting opportunity for those passionate about enhancing the quality of written communication and driving AI innovation.

Evaluate expert-labeled data using proprietary tools to help shape the next generation of AI systems. Use your domain expertise in biology, neuroscience, or related fields to ensure scientific accuracy and quality in AI training by providing structured feedback and assessing human and AI-generated scientific responses.

The Analytics Engineer will join the Data Foundations team to build and monitor pipelines that power analytics across core healthcare datasets like medical claims, pharmacy, lab results and biometric data. This role involves building robust, scalable data models in DBT + BigQuery, serving use cases across product, operations and clinical teams. It’s ideal for someone technically strong in SQL/DBT, experienced with healthcare data and eager to work at the intersection of infrastructure, data quality and downstream impact.

Design, develop, and optimize advanced AI models to solve complex business and technical challenges. Collaborate closely with cross-functional teams to identify AI opportunities and deliver impactful solutions. The ideal candidate will play a key role in model development, research, and team collaboration, helping shape the direction of our AI initiatives.

Shape and expand our analytics capabilities across the company. In this key role, you will help standardize and scale our data products, ensuring trusted, accessible, and visually compelling insights for stakeholders, empowering the organization to make well-informed, data-driven decisions. As a fully remote position, you will report directly to the Senior Director of Data Solutions, fostering a collaborative and supportive work environment.

Seeking an experienced Data Engineer with knowledge of Machine Learning to join the team for a USA client. The role involves migrating from AWS SageMaker to Databricks, building and optimizing cloud models. Daily tasks include migrating ML components, deploying models to production, and collaborating on data integration. Requires 7 years of data engineering experience, Databricks proficiency, and AWS experience.

Looking for native Danish speakers with a linguistic background with excellent command of the English language. Annotate or evaluate AI-generated speech for naturalness, human likeness, and expressiveness. Compare AI and human responses. Seeking detail-oriented individuals able to follow instructions, and reliable, responsible, and communicative people.

Support IVR and chat self-service platforms through robust data visualization, analysis, and reporting. Serve as the go-to expert for interpreting complex datasets, identifying process gaps, and delivering actionable insights that improve customer experience and system performance. Manage cross-functional collaboration with IT, Product, and CX stakeholders. Bring strong analytical thinking, data storytelling ability, and comfort presenting insights to both technical and non-technical audiences.

Ensures the production reliability and scalability of customer application(s) and infrastructure services from an operations perspective. Responsible for restoring database/application services, guiding SRE and CS operations on database-related issues, working with development on database defects and migrations, and strategizing the scaling of the ServiceNow platform. Ideal candidate is a software engineer with a strong background in database technologies, performance analysis of databases and RHEL, and strong troubleshooting skills.