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AI Training Supply Coordinator
Job in
Jacksonville, Duval County, Florida, 32099, USA
Listed on 2026-10-27
Listing for:
OpenTrain AI, Inc.
Apprenticeship/Internship
position Listed on 2026-10-27
Job specializations:
-
Science
AI Evaluation, Data Annotation/ AI Labeling
Job Description & How to Apply Below
You will help plan and move contributors across several AI training projects. The role combines workforce coordination, data management, project capacity monitoring, and assigned chatbot evaluation tasks.
- Allocate contributors based on project demand and track resource requests through completion.
- Maintain deployment, status, performance, and capacity data.
- Monitor project capacity, throughput, onboarding, and offboarding.
- Coordinate access, training, and instructions when contributors move between projects.
- Identify capacity risks and data issues, communicate pending actions, and provide clear shift handoffs.
- Suggest improvements to resource planning processes and systems.
- Compare multiple chatbot responses and provide final assessments on assigned evaluation tasks.
This is a remote, project-based freelance engagement. The role is listed as entry level, with experience in operations coordination, workforce management, or resource planning required.
- Pay:
Not provided in the role details. - Engagement: 16 weeks as a freelance contractor.
- Schedule:
Five working days per week, including weekends as required, with two weekdays off. - Hours:
7:00 a.m. to 4:00 p.m. Pacific Time, with a requirement of 20 or more hours per week. - Location:
Remote and open worldwide. - Language:
Fluent in English. - Requirements:
Strong spreadsheet, data-management, organizational, and stakeholder-management skills. - Requirements:
Ability to make accurate, data-driven decisions under pressure and communicate clearly in a shift-based environment. - Helpful experience: AI training or data annotation.
AI training work is the human side of building artificial intelligence. People prepare and review examples, rate chatbot responses, and assess model outputs so AI systems can improve; coordination roles help keep that work organized across projects.
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