AI Training Resource Planner

Dover; Comisión de Fomento de Perú; Hybrid; ARS 63.585.000 - 96.892.000; Vollzeit

Zusammenfassung

Careerflow Human Data Labs is seeking an operations-focused resource planner to support deployment of 1,800+ contributors across multiple AI training projects. You will report to the Supply Manager and coordinate with Project, Training, and Onboarding Leads.

The role emphasizes data integrity, capacity monitoring, and proactive risk identification in a fast-paced, shift-based environment. This contract-based position involves evaluating chatbot tasks over a defined period.

Qualifikationen

• Experience in operations coordination, workforce management, or resource planning.
• Strong spreadsheet, data-management, and organizational skills.
• Ability to make accurate, data-driven decisions under pressure.
• Clear communication and stakeholder-management skills.
• Comfortable working in a fast-paced, shift-based environment.
• Experience in AI training or data annotation is preferred.

Aufgaben

• Allocate and move contributors based on project demand.
• Coordinate access, training, and instructions for resource movements.
• Maintain accurate deployment, status, performance, and capacity data.
• Monitor project capacity, throughput, onboarding, and offboarding.
• Identify and elevate capacity risks and data issues.
• Track resource requests through completion.
• Conduct clear shift handoffs and communicate pending actions.
• Suggest improvements to resource planning processes and systems.

Kenntnisse

Operations coordination

Data management

Stakeholder management

Communication

Shift-based environment

AI training familiarity

Jobbeschreibung

Careerflow Human Data Labs is seeking an operations-focused resource planner to support deployment of 1,800+ contributors across multiple AI training projects. You will report to the Supply Manager and coordinate with Project, Training, and Onboarding Leads.

The role emphasizes data integrity, capacity monitoring, and proactive risk identification in a fast-paced, shift-based environment. This contract-based position involves evaluating chatbot tasks over a defined period.