Career transition

PHP Project Manager → AI Evaluation Engineer

This route builds on experience you already have and identifies the skills you need to add.

Starting rolePHP Project Manager · 32%
→
Learning path3–6 months
→
Target roleAI Evaluation Engineer · 16%

Transferable strengths

  • knowledge of the sector, terminology and typical work situations
  • resource allocation
  • spatial attention
  • emergency response
  • systems thinking

Skills to add

  • AI-system evaluation
  • model-behavior monitoring
  • AI governance
  • financial modelling
  • AI-assisted scenario analysis
  • data work

United States · monthly pay

How income may change

Comparison of modeled average monthly pay before tax. It helps assess direction but does not guarantee income after a transition.

PHP Project Manager$12 200 → $16 500
AI Evaluation Engineer$12 900 → $20 050
PHP Project Manager · 2026: $12 2002026PHP Project Manager · 2027: $12 6002027PHP Project Manager · 2028: $13 0502028PHP Project Manager · 2029: $13 5002029PHP Project Manager · 2030: $13 9502030PHP Project Manager · 2031: $14 4002031PHP Project Manager · 2032: $14 9002032PHP Project Manager · 2033: $15 4002033PHP Project Manager · 2034: $15 9502034PHP Project Manager · 2035: $16 5002035AI Evaluation Engineer · 2026: $12 900AI Evaluation Engineer · 2027: $13 550AI Evaluation Engineer · 2028: $14 250AI Evaluation Engineer · 2029: $14 950AI Evaluation Engineer · 2030: $15 700AI Evaluation Engineer · 2031: $16 500AI Evaluation Engineer · 2032: $17 300AI Evaluation Engineer · 2033: $18 200AI Evaluation Engineer · 2034: $19 100AI Evaluation Engineer · 2035: $20 050

How realistic is the transition?

Skill fit89%
DifficultyLow
DemandHigh

Suggested sequence

  1. Review 20–30 AI Evaluation Engineer vacancies and record actual tasks, mandatory requirements and tools.
  2. Define the bridge from PHP Project Manager: knowledge of the sector, terminology and typical work situations. Prepare two examples where this experience produced a measurable result.
  3. Learn AI-system evaluation and model-behavior monitoring to the level of completing an independent practical task—not merely finishing a course.
  4. Build a working prototype, publish the code in a repository, and add tests, documentation and a decision record.
  5. Review 20–30 vacancies and choose only courses or certificates that repeatedly appear in employer requirements.
  6. Rewrite your résumé for AI Evaluation Engineer, add the case and begin with test applications, internships, projects or adjacent tasks at your current employer.
Timeline and pay are indicative. They depend on starting skills, location, experience, weekly study time and employer requirements.