Remote Data Jobs • Communication

The Data Strategist helps organizations leverage their data capabilities effectively to drive business value and achieve strategic objectives. This role requires technical expertise, strategic thinking, problem-solving, adaptability and influence skills to drive organizational change and unlock the full potential of data to drive business success.

We are looking for a Data Labeler to help us in our efforts to annotate and label our data for AI training applications. Responsibilities include using proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots, collaborating with ML engineers, and maintaining high quality across annotation batches.

Support high impact work by running key portions of our data products to help end product owners scale or run centralized data ingestion pipelines that the broader team relies on. Build expertise in highly valuable alternative datasets like web-scraped data, transaction data, email data, and others. You'll gain insight into how investors use data in their investment decisions.

The Data Analytics Consultant will be a pivotal member of the Analytics Team, responsible for delivering critical insights that drive data-driven decision-making for financial institution clients. This role will be part of the data engineering team and will be responsible for ensuring that client-provided data is reviewed, imported, transformed, and quality-controlled into specifically requested data warehouses for ongoing projects and services.

Be the go-to expert, partnering with customers to understand their data and reporting requirements, and effectively translating them to our engineering team. Work hand in hand with the Product Team, Data Scientists, and Software Engineers, ensuring customer feedback drives product development. Tackle critical business and infrastructure issues through ad hoc analysis, insightful requests, and data extraction.

We are seeking a visionary Head of Consultancy to lead our data engineering consultancy division, driving growth and success. The ideal candidate will be a strategic leader with a strong background in data consultancy, capable of owning the P&L, building client relationships, and fostering a high-performing team.

You will partner directly with the Measurement Strategy team to scale the delivery and interpretation of results from our cutting-edge science platform to meet fast growing customer demands, serving as a trusted advisor to customers, focusing on driving value and confidence in results. Collaborating across teams you will develop solutions to ensure robust, reliable results and seamless communication at scale.

You will be involved in the analysis and planning of the development of deployment tools, data transfer engines, and interfaces, reporting to the Director of Deployment and Continuous Improvement. Responsibilities include defining client needs, suggesting best practices, mentoring junior developers, conducting code reviews, and improving code quality.

As a Customer AI Engineer, you'll be the technical bridge between our clients and our platform, wowing customers with deep knowledge of Landbase's AI capabilities while automating onboarding processes and implementing advanced functionality. You'll work closely with the AI Labs Team to experiment with new features and serve as the platform expert for our Sales and Account Management teams.