JobFrame · Ladder · AIM.GEN.M1
Artificial Intelligence Manager · General
The full level-by-level ladder — every rung side by side, current level (M1) highlighted.
Pay by level
Same pricing source as the profile's ticker header — family multiplier + inherited focus differential over the function×level base.
National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).
Pay rises with level — the structure that explains the most pay variance.
Mastery at this level
M1 — Starting out · new to it — knows the words, not yet the work
Standing up a lab and a working model
- Assembles compute, data pipelines, and a small team before running first experiments
- Cites landmark benchmark wins to justify the technical direction
- Measures success purely by accuracy or task-completion rate on a chosen benchmark
- Relies on published foundational algorithms rather than novel methods
What’s next — Foundationalat M1 → M2
Moving from 'does it score well?' to 'does it behave reliably and honestly for the right reasons?'
What to learn
- How reward misspecification produces reward hacking and specification gaming
- Failure modes under distribution shift and adversarial inputs
- Sampling bias and coverage gaps in training corpora
What to practice
- Instrumenting training to detect loophole exploitation
- Auditing dataset representativeness against a target population
- Running adversarial and robustness test suites
- Applying interpretability tools to debug model decisions
From Lead An AI / ML Research Team — the closest guide to this family (semantic match; stage bands from the canonical level binding).
No JFM factory canon (responsibilities × level, level guidelines × level, skills) for this profile yet.