Deliver responsive, solution-oriented customer support across phone, email, website, and marketplace channels.
Process and manage customer orders and post-order support with accuracy, urgency, and attention to detail.
Partner cross-functionally to resolve customer and operational issues while maintaining clear communication and follow-through.
Clickstop operates in the e-commerce sector, managing multiple brands. The company fosters a culture of entrepreneurship, ownership, and recognition, emphasizing personal and professional growth within a dynamic team environment.
Crossfunctional Problem Solving: You’ll work with Data Science, Product, Engineering, Support, and Human Data teams every day.
Deep-Dive Investigations: You’ll review data quality reports, validate fraud claims, and take action to restrict bad actors based on your findings.
Model Training & Feedback Loops: You’ll partner with Data Science to review high-risk participants, providing vital manual review data to improve our ML models.
Prolific builds the human data infrastructure that reshapes AI development by connecting researchers with a global pool of participants to collect high-quality, ethically sourced behavioral data. It is a mission-driven organization working at the forefront of AI innovation with a remote, impactful culture.
Work directly with physicists to help them run experiments, interpret results, and unlock value quickly from AI systems.
Own the end-to-end user lifecycle from discovery and activation to onboarding and long-term retention, designing scalable workflows.
Identify user experience friction points, build supportive tooling, and partner with research and engineering to translate needs into product improvements.
FirstPrinciples is a non-profit research organization building AI infrastructure for discovery in fundamental science, like the domain-specialized system Theo for physics research. It is a fast-growing, remote-first team of builders and researchers working across multiple countries, united by a culture of curiosity, rigorous thinking, and comfort with tackling ambiguous, foundational problems.