Remote Data Jobs · Python

Establish the foundation for how data is labeled, processed, and prepared for consumption by next-generation Large Language Models (LLMs). Transform raw data collections into valuable, AI-ready datasets. Design and document a formal data annotation strategy, including clear, scalable, and efficient guidelines for labeling data.

Teramind protects 10,000+ organizations from insider threats by analyzing billions of behavioral events daily. The company is scaling to 100,000 customers, and the data platform needs to scale with them. This role involves making massive amounts of data queryable in under 2 seconds, using Python.

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.

Shape the future of how businesses and consumers interact, contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Work on projects that have the potential to make a lasting impact, designing, implementing, and optimizing robust data workflows that enable both customers and internal teams to make smarter, faster decisions.

As a Senior Data Engineer, lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborate closely with business and analytics teams, ensuring high-quality deliverables that meet the strategic needs of our organization. Expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data.

As a Business Intelligence (BI) Data Engineer, you will act as the bridge between our complex data and our business domains. You will be responsible for empowering teams with accurate, reliable, and insightful analytical datasets that drive critical business decisions. This is an exciting opportunity for a proactive individual who is eager to work with a modern data stack.

Earning trust with prospects and customers by quantifying value with clear, data-backed business cases. The Solution Analytics team turns pilot datasets into rigorous retrospectives and ROI narratives that inform partner decisions and accelerate adoption. We support existing partners with analyses. We’re looking for an analyst who blends business acumen with analytical rigor. Success means owning the end-to-end analytics workflow.

As the foundational Data Engineer for HTS Media, you will own the data infrastructure that powers entire advertising business. Mission is to build a robust, scalable data foundation from the ground up that transforms this raw data into the trusted, high-quality datasets that power advertiser-facing reporting and enable future ML models. You will be responsible for the full lifecycle of data, from building real-time data pipelines to modeling data in our warehouse for analytics and reporting.

Play a hands-on role in shaping the next generation of Liquid Foundation Models (LFMs). Your work will involve data curation, cleaning, augmentation, and synthetic data generation. You will also analyze model failure modes to identify and close data gaps, design and implement pipelines for generating and validating training datasets, and fine-tune models.

We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains. You’ll take ownership of QA processes for mission-critical projects and collaborate closely with cross-functional teams to design scalable QA strategies.