Morningstar Inc.

Morningstar Inc.

Associate AI Engineer

Chicago

Sponsorship not specifiedDetected 93 days ago

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Morningstar, Inc. obtained a prevailing wage determination for Software Developers in Chicago, ILLINOIS on 2026-06-10. No matching green-card filing appears in our data yet. The determination expires in 1 day (2026-09-07), and a green-card filing must follow before then or the employer starts over.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 67% of its 12 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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Full role details are still being normalized from the source posting.

This listing is sourced directly from Morningstar Inc.'s careers page and normalized into a canonical job model.