Support onboarding activities that help new team members feel welcomed, informed, and set up for success.
Assist with offboarding processes and help gather employee feedback through exit interviews and surveys.
Partner with teammates to ensure a positive experience throughout the employee lifecycle.
Collaborate with our global People team to support day-to-day HR operations and employee requests.
Help identify opportunities to improve processes and create more efficient ways of working.
Participate in training focused on AI tools and AI agent development.
Help build, test, maintain, and improve AI-powered workflows and employee support solutions.
Develop and update documentation, guides, and resources that help employees navigate company programs and policies.
Keep employee records accurate and up to date across HR systems such as HiBob and Lattice.
Assist with maintaining compliance with employment laws, company policies, and internal processes.
Artificial IntelligenceMicrosoft OfficeProcess improvement+2 more
Showing 1 of 4 positions
About Pearl
Pearl pioneers AI for professional services at a global scale. We combine advanced AI with verified human expertise to deliver accurate, accountable, and fast help. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries. Our Pearl AI Answer Review service allows human experts to fact-check AI-generated responses. We offer solutions in legal, medical, and technical consultation, processing queries for hundreds of thousands of users monthly.
How We Work
Pearl fosters a high-performance culture where talented individuals excel. We are data-driven; decisions come from insights, not assumptions. Our team embraces courage, taking risks and challenging the status quo. We are innovative, constantly learning, creating, and adapting our approach. We operate lean, focusing on customer needs and using testing to serve them best. While we grow rapidly, we remain humble, knowing past success does not guarantee future results. Our roles are #LI-Remote, offering flexibility to our team members.
Data driven: data decides, not egos
Courageous: take risks and challenge the status quo
Innovative: constantly learning, creating, and adapting
Lean: focus on customers, using lean testing
Humble: past success is not a guarantee of future success
Engineering at Pearl
Our engineering challenges revolve around combining cutting-edge AI with human intelligence at scale. We build, deploy, and optimize Machine Learning solutions end-to-end, involving complex data processing and analysis. Our teams leverage Python for robust programming and SQL for intricate data querying. You will work with LLMs and Generative AI technologies, developing solutions that directly impact product quality and user experience. We integrate ML models into production, ensuring data quality, reliability, and scalability. This environment demands strong analytical and problem-solving skills, working with large datasets to find growth opportunities.
Why Join Us
Shape the future of AI-powered professional services with real-world impact.
Collaborate with cross-functional teams in a data-driven, innovative culture.
Build and deploy advanced Machine Learning models, including LLMs and Generative AI.
Solve complex data challenges, translating insights into tangible business outcomes.