You will lead the architecture, engineering, and operations of a modern Azure-based data ecosystem.
You will build and mentor high-performing teams while partnering with global stakeholders.
You will drive data-driven innovation and AI capabilities to enable smarter decisions.
The organization is dedicated to improving healthcare and accelerating life-science research. It operates with a globally distributed technology team and emphasizes innovation in data and AI.
Gather and document business and data requirements for new and enhanced data feeds.
Collaborate with solution architects, security teams, and third-party vendors to ensure alignment.
Support testing, defect resolution, and maintain data dictionaries and documentation.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, they focus on delivering impactful, future-ready solutions.
Conduct live, natural video conversations in Vietnamese with other participants to train AI models.
Discuss everyday topics without scripts, allowing conversations to flow naturally for authentic speech data.
Work on a task-based, flexible schedule with no minimum hours, choosing tasks based on details and pay.
Prolific is building the world's largest pool of quality human data for AI developers, researchers, and organizations. With over 35,000 developers using their platform, they offer a flexible, ethical, and remote-friendly culture focused on integrating diverse human perspectives into AI development.
Design, build, and maintain serverless data pipelines on AWS using Lambda, Glue, Athena, S3, and Step Functions to support analytics and AI.
Develop ETL/ELT workflows to ingest, cleanse, and load data from internal and third-party sources into a data lake, ensuring data quality and reliability.
Collaborate with Analytics, Data Science, and AI teams to understand data requirements and create robust data models and feature stores.
ParetoHealth is redefining how employers fund healthcare as the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it is a rapidly growing company driven by core values such as Fire in the Belly and For the Greater Good.
Architect and develop robust, end-to-end machine learning solutions, managing the complete ML lifecycle from development to production.
Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them across the software development life cycle.
Evaluate cloud solutions for performance and cost-efficiency, and communicate technical concepts clearly to stakeholders and teams.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Query and analyze data using SQL and AI tools to track marketing KPIs and assess business health.
Design and maintain dynamic dashboards and reports that provide actionable insights into product performance and operational efficiency.
Champion AI adoption across the organization by coaching teams and building reusable workflows.
ALOHA Collection is a fast-growing lifestyle brand focusing on travel accessories with Hawaiian roots. The company emphasizes work-life balance, flexible remote options, and personal growth opportunities.
Analyze and improve the quality of multilingual text classifier outputs.
Translate and validate taxonomy content from English to Polish and vice versa.
Partner with linguistics and engineering teams to develop language-specific parsers and document findings.
AspenView Technology Partners specializes in building high-performing nearshore IT teams to help North American clients innovate faster and more efficiently. They are a people-first, purpose-driven company that fosters an inclusive, respectful culture.
Design, develop, and optimize computer vision models and deep learning capabilities across the product portfolio.
Build and maintain ETL pipelines, clean datasets, and perform feature engineering for machine learning applications.
Collaborate with cross-functional teams to productionize, deploy, and monitor models in real-world environments.
FloVision is a remote-first startup improving the food supply chain with computer vision and ML. It is a Series A company with a distributed team across the US, UK, and Ireland.
Design, develop, train, and evaluate machine learning models for interpreting complete CT studies.
Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
Develop vision-language models connecting medical images with radiologist terminology and reporting patterns.
Our partner is a research-driven team building next-generation AI models to understand complete CT studies. They work with a dataset of approximately 10 million patients and collaborate with fellowship-trained radiologists across multiple specialties.