5–10% acceptance rate

Our Vetting Process

Every engineer in our network has been manually reviewed, technically assessed, and interviewed. No automated approvals.

5–10%
Acceptance rate
4–5
Stages of review
2–3 weeks
Typical timeline
100%
Manual review

Five-Stage Review

Stage 1: Application Review

  • Portfolio and project links reviewed
  • Experience with AI/ML systems verified
  • Communication quality assessed

Stage 2: Technical Assessment

  • Code samples and architecture reviewed
  • Production experience validated
  • Stack alignment with client needs

Stage 3: Live Technical Interview

  • Deep-dive on past projects
  • Problem-solving approach evaluated
  • Technical communication assessed

Stage 4: Case Discussion

  • Real-world scenarios presented
  • Systems thinking evaluated
  • Client-fit assessment

Stage 5: Final Approval

  • Network access granted
  • Profile published for matching
  • Ongoing performance standards apply

Ongoing Performance Standards

Quality Deliverables

Maintain high standards. Subpar work can result in removal from the network.

Reliability

Meet commitments. Consistent no-shows or delays are not tolerated.

Professional Conduct

Clear communication and respect for client relationships.

Common Rejection Reasons

No demonstrated production AI/ML experience
Portfolio lacks real deployed systems
Technical communication gaps in interview
Misalignment with our quality standards

Ready for review?

Apply to join our network of vetted AI engineers.

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