You will serve as the primary point of contact for key clients, managing project lifecycles from scope and budget to delivery. Additionally, you will identify opportunities for account growth and collaborate with internal teams to ensure high-quality AI project outcomes.
You will manage onboarding workflows, learning materials, and readiness reporting to ensure contributors are prepared for AI and data collection projects. Additionally, you will analyze performance issues, maintain dashboards, and collaborate with cross-functional teams to ensure project quality standards are met.
You will lead complex medical AI data programs from solution design through delivery, bridging customer objectives with clinical expertise. Additionally, you will own the success of AI pilots, turning emerging use cases into scalable programs with defined quality and feasibility standards.
You will lead strategic legal AI pilots from initial scoping through to operationalization, ensuring they meet quality, feasibility, and cost standards. You will also establish workflows and operational blueprints to scale these projects across the global delivery organization.
You will lead strategic finance pilots and research projects for AI model training, managing the lifecycle from scoping to operationalization. This involves defining quality standards, workflows, and expert requirements while collaborating with researchers and delivery teams.
United States$150K - $200K per year5-10 yrs expSales
You will own end-to-end enterprise sales cycles, from discovery and qualification through to commercial negotiation and contract execution. Additionally, you will orchestrate internal teams to shape solutions and pricing while maintaining regular Executive Business Reviews with clients.
India, Philippines, Spain$20 - $25 per hour2-5 yrs expProduct
Drive end-to-end delivery of GenAI projects by coordinating workstreams, ensuring data quality, and aligning task configuration with client expectations. Act as the AI expert point of contact for clients while translating QA findings into process improvements.