Lead a centralized team of data engineers and applied data scientists to build scalable data infrastructure, machine learning systems, and analytics foundations.
Partner with cross-functional leaders to translate business needs into technical solutions, balancing long-term platform investments with immediate priorities.
Champion data quality, governance, observability, and modern engineering practices across the data ecosystem to drive operational efficiency and AI-powered experiences.
Our partner is a technology company that leverages data and AI to enhance user experiences through scalable data infrastructure and machine learning systems. They foster a collaborative, inclusive, and high-performing culture with a remote-first approach and a focus on professional growth.
Fact-check AI outputs for scientific accuracy and integrity.
Verify technical concepts using your neuroscience expertise.
Prolific is building the biggest pool of quality human data in the world, connecting AI developers, researchers, and organizations with paid study participants. With over 35,000 AI developers and researchers using the platform, it enables flexible, ethical data collection for AI training.
Drive core research: Collaborate with the technical founder and team to develop cutting-edge modeling approaches and iterate rapidly.
Develop RL feedback loop: Design and implement post-training methods that translate high-throughput biological measurements into reward signals.
Bridge wet/dry lab: Partner with experimental team to ensure lab measurements and model learning are designed as a single cohesive system.
Astera is a private foundation on a mission to steer science and technology toward an abundant future. Projects supported by Astera operate like high-velocity startups, focusing on ambitious goals and attracting strong technical talent.
Evaluate AI-generated content for quality, accuracy, and cultural relevance
Apply Castilian Spanish expertise to assess response appropriateness for Spain
Provide structured feedback and document decisions to improve AI performance
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use objective, data-driven recruitment processes and prioritize privacy and fairness.
Build and operate ingestion pipelines across telematics provider integrations, handling streaming, polling, and batch with appropriate retry and rate-limiting.
Own the normalization layer: map inconsistent provider payload into canonical vehicle, driver, HOS, and fuel models, and defend that schema as new providers are added.
Design storage and query patterns for high-volume time-series vehicle data, balancing real-time API latency with analytical workloads.
We are Catena, the universal API for fleet telematics data, giving insurers, factors, and freight-tech platforms a single integration to access carrier vehicle data across every major ELD and telematics provider. We're an early-stage startup with $8.25M in funding and a small, hands-on team where you'll have high ownership and direct impact.
Partner with leaders to analyze business workflows, identify inefficiencies, and design data-driven solutions using AI and automation.
Build AI assistants, dashboards, and automated workflows to improve customer experience and operational performance.
Measure business impact through metrics like time saved and increased productivity while promoting responsible AI use.
Quest Analytics improves provider network management with innovative technology. With 90% of America's health plans using their tools, they offer a collaborative culture and workplace flexibility.
Define standards, taxonomies, and requirements for data flow and reporting across the business.
Analyze business performance to uncover drivers behind churn, retention, and conversion for leadership action.
Lead the analytics function, team development, and AI-driven analytics strategy at SQUIRE.
SQUIRE is a business management system designed for barbers, shop owners, and their communities, providing tools and resources to help barbers manage operations and increase revenue. Founded in 2015, SQUIRE is trusted by over 30,000 barbers across 5,000+ shops in over a thousand cities worldwide.
Collaborate with cross-functional teams to enhance the Lyra platform and serve provider and client needs.
Become an expert in diverse data sources, building pipelines and applying clinical logic to raw data.
Extract actionable insights, develop predictive and generative models, and support product iterations with rigorous evaluation frameworks.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered more than 15 million sessions of mental health care and published over 35 peer-reviewed studies, with a culture focused on innovation and clinical effectiveness.
Lead the architecture and scalability of a mission-critical data platform.
Establish data governance, quality standards, and Data-as-a-Product approach.
Mentor and grow a distributed data engineering team in a remote-first environment.
Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.
Partner with stakeholders to translate business needs into analytical solutions, documenting requirements and defining KPIs.
Extract, clean, and analyze data to identify trends, develop dashboards in Power BI or Tableau, and perform root-cause analysis.
Collaborate with teams to implement analytics solutions, validate data accuracy, and communicate insights clearly to business and technical audiences.
Jobgether is an AI-powered job matching platform that helps candidates find roles and companies hire efficiently. They use technology to connect top-fitting candidates with hiring companies, focusing on objective and fair reviews.