The work
You will manage staffing supply across several AI training projects. The work focuses on matching contributor capacity to demand, spotting supply risks, and keeping operations on track.
You will also support defined chatbot comparison and assessment tasks, working with project, program, technical, business, and client stakeholders.
- Make resource allocation and deployment decisions across multiple projects.
- Forecast capacity gaps and guide recruiting and fulfillment activity.
- Manage and improve centralized resource and throughput tracking systems.
- Combine information from recruiting, onboarding, performance, and project delivery.
- Track utilization, throughput, operating trends, bottlenecks, and turnaround times.
- Lead process improvements for resource use, cross-skilling, and operating efficiency.
- Lead 1 to 3 Supply Coordinators and help maintain operating coverage.
- Compare multiple chatbots and provide a final assessment during defined evaluation tasks.
What it pays and takes
The listing does not provide a pay rate. This is a remote, project-based freelance engagement with a 16-week term.
- Workload: 20 or more hours per week.
- Location: Open worldwide and fully remote.
- Language: English language ability is required.
- Format: Contractor and part-time freelance work.
- Experience level: Entry level.
- Experience requested: At least 5 years of overall professional experience and experience in large-scale operations or managed services, preferably in AI training.
- Required skills: Solutions architecture, systems integration, and workforce or resource management systems.
- Also important: Analytical judgment, decision-making, communication, stakeholder management, and the ability to manage fast-moving operations.
- Helpful experience: AI training programs, resource planning, operational analytics, chatbot evaluation, or managed-services delivery.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind artificial intelligence. People review and rate model responses, evaluate chatbots, label data, and prepare examples that help AI systems improve. Roles that require operational planning or subject expertise can pay more because they depend on experienced judgment.