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Allocate and redeploy contributors across AI training projects, coordinating access, training, instructions, and resource requests. Maintain workforce and capacity data, monitor project throughput and onboarding, escalate risks or data issues, and communicate pending actions across shifts.
Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products.
About the role
Support the daily resource planning and deployment of 1,800+ contributors across multiple AI training projects. Reporting to the Supply Manager, you will allocate contributors, maintain accurate workforce data, monitor capacity, and coordinate with Project, Training, and Onboarding Leads.
Key Responsibilities
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 escalate 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.
Required Qualifications
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.
Offer Details:
This is a project-based role involving a defined number of evaluation tasks.
Each task will involve comparing multiple chatbots and providing a final assessment.
Work Schedule: Five working days per week, including weekends as required, with two weekdays off.
Work Hours - 7am-4pm PST
Duration: 16 weeks.
Location: Argentina, Peru, Mexico, Brazil, Chile, Columbia, India, Pakistan,
Dominican Republic, Bolivia, Guatemala
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