The work
As an AI Training Project Lead, you will oversee large-scale multimodal annotation and chatbot evaluation work. The project supports AI applications in accounting and finance, including comparing multiple chatbots and providing a final assessment.
- Manage project scope, resources, schedules, budgets, and delivery commitments.
- Serve as the primary contact for clients and maintain clear stakeholder communication.
- Lead and mentor Team Leads, and scale teams to meet project requirements.
- Work with Quality Managers to maintain quality standards.
- Monitor throughput, accuracy, and turnaround time, address risks, and improve processes based on delivery performance.
What it pays and takes
The role is fully remote and project-based. The listed experience level is entry level, and the role also includes the professional experience requirements below.
- Pay: Not specified.
- Project length: 16 weeks.
- Time requirement: 20 or more hours per week.
- Schedule: Five working days per week, including weekends as required, with two weekdays off.
- Work hours: 7:00 a.m. to 4:00 p.m. Pacific Time.
- Location: Open worldwide and fully remote.
- Language: Fluent in English.
- Experience: At least 7 years of professional experience, including at least 4 years leading teams.
- Required background: Complex, high-volume project management, strong client communication, stakeholder management, and data-driven judgment using performance metrics.
- Helpful experience: Annotation, data labeling, AI training, reinforcement learning from human feedback, supervised fine-tuning, model evaluation, or business analysis.
How it works
OpenTrain is where people find AI training and data-labeling projects and start their applications. 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, including preparing data and reviewing model outputs. People with project management and subject-matter experience help teams deliver accurate, consistent training data and evaluations at scale.