5 New Mexico companies receive over $800k in workforce training funds

5 New Mexico companies receive over $800k in workforce training funds

SANTA FE, N.M. (KRQE) – Five New Mexico businesses have received funds this month to go towards workforce training. Officials with the Economic Development Department (EDD) say March’s Job Training Incentive Program money could assist 70 trainees and two interns. The total amount given in March was $814,902.60.


New Mexico’s Homeowner Assistance Fund paid out $43 million to locals

The funds become available on a reimbursement basis after the training is complete and the company has met the agreed-upon benchmarks of the program. EDD says the structure of the funding is aimed at encouraging participation in rural and frontier areas, and also companies hiring graduates of New Mexico higher education institutions.

The five companies receiving workforce training funds are:

F5 Theming & Design 2 LLC in Animas. They were awarded $86,562 for five trainees at an average wage of $21.80. They are a scenic art design and manufacturing company focused on themed entertainment and commercial environments.

Advanced Manufactured Power Solutions in Albuquerque. One trainee at an average wage of 40.87 for a total award of $24,627. AMPS provides custom, high-quality, and high-reliability battery packs for the defense and space industries.

Franklin Mountain Packaging, LLC in Santa Teresa. Sixty-one trainees at an average wage of $19.11 for a total reward of $623,923. They manufacture corrugated sheets and provide unique digital printing services for the corrugated box-making industry.

Olive Tree Pharmacy, Co. in Rio Rancho. Three trainees at an average wage of $28.40 and one intern with a wage of $19.75 for a total reward of $66,990. They are a C-corporation and the only compounding pharmacy in Rio Rancho.

Knight Scientific Systems LLC in Los Ranchos/Albuquerque. One intern with a wage of $40 for a total award of $12,800. They are developing multi-spectral Object Detection tools to bring machine learning to all imaging wavebands.

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