Bright Machines

Bright Machines

Office and Human Resources Coordinator - Night Shift

Florence, Kentucky

Sponsorship not specifiedDetected 8 days ago
HRRoboticsLeadership

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
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

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 8 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.

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About the role

  • BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production.
  • Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue.

Requirements

  • Production experience, sound judgment, and the ability to handle sensitive situations independently are key to success.

Company info

  • At Bright Machines, we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge.
  • Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers.

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