AI-Readiness Certification
Core certification required for all experts before deployment.
- Pass 7-stage vetting
- Complete AI fundamentals training
- Pass skills assessments
- Complete ethics module
Certification
Make readiness visible before project work begins.
Certification combines qualification evidence, learning and human review. Final eligibility still depends on the requirements of each project.
Begin your profile
Learning paths
Build evidence for the work you want to do.
Certification names describe planned learning pathways. Enrollment and eligibility are shown in the signed-in portal when available.
RLHF Specialist
Specialized certification for Reinforcement Learning from Human Feedback work.
- AI-Readiness Certification
- Complete RLHF training
- Pass evaluation exercises
- Minimum 100 hours experience
Data Annotation Expert
Certification for high-quality data labeling across modalities.
- AI-Readiness Certification
- Complete annotation training
- Pass quality benchmarks
- Domain specialization
Prompt Engineering
Advanced certification for prompt design and optimization.
- AI-Readiness Certification
- Complete prompt engineering course
- Portfolio review
- Client project experience
Ongoing readiness
Standards change, so learning continues.
Certification is not permanent — experts re-train and re-test as client standards and tooling change. Continuous quality monitoring ensures skills stay current.