Classification drives everything
A prevailing wage determination begins with an occupational classification, and that single choice sets the wage band for the whole filing. Data science and MLOps roles are genuinely awkward to classify: the work spans statistics, software engineering, data engineering and systems operations, and the available occupational categories were not designed with that blend in mind.
Choosing a classification that undersells the role creates two risks at once. The wage may be too low to withstand scrutiny given the duties described, and the mismatch between a senior job description and a junior classification is itself a red flag in an audit.
Wage levels are determined by requirements, not titles
Levels I through IV are driven by the education, experience, supervision, special skills and requirements stated in the job description — not by the seniority implied in a title. A role that requires a master's degree plus several years of experience, independent judgement over architecture, and supervision of other engineers will not sit credibly at Level I regardless of what the offer letter calls it.
- Derive the level from stated requirements, then check it against the wage offered.
- Keep the job description, wage level and internal job architecture consistent.
- Document why any special skill requirement is genuinely necessary.
- Watch for supervision duties that push a role up a level.
When to consider an alternative wage source
Where the standard survey badly misprices a specialised role, an independent survey may be used if it meets the applicable methodological criteria: it must cover the correct geographic area and occupation, use a recent and adequate sample, and report the arithmetic mean or a permitted median. Employer-specific compensation data does not qualify, and a survey chosen simply because it produces a lower number will not survive review.
The decision is a trade-off. Alternative surveys can better reflect specialised MLOps compensation, but they add documentation burden and invite closer examination, so they are best reserved for cases where the mismatch is material.
Remote work, geography and audit readiness
Prevailing wage is geographically anchored to the place of employment. Distributed engineering teams complicate this: a role advertised as remote may need determinations tied to specific worksites, and a relocation can require a fresh determination. Multiple worksites generally mean the highest applicable wage governs.
The practical safeguard is a single internal record per role that links the job description, the classification rationale, the wage level derivation, the determination itself, the actual worksites and the compensation paid. When an audit arrives years later, that file is the difference between a routine response and a reconstruction exercise.
Key takeaways
- Occupational classification is the highest-leverage decision in the filing.
- Wage level follows the stated requirements, not the job title.
- Use alternative surveys only when the mismatch is material and the methodology qualifies.
- Anchor wages to actual worksites, including for remote roles.
- Keep one auditable file per role linking description, level and pay.
Work with DeltaDex Technologies
DeltaDex Technologies engineers enterprise AI platforms, MLOps pipelines and governed generative systems for organisations operating under real regulatory pressure.
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