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Remote Machine Learning Jobs in Albuquerque, NM (NOW HIRING)

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This role is entirely remote; however, candidates must reside in the state of Illinois, Indiana ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

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Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Remote Machine Learning information

See Albuquerque, NM salary details

$24.7K

$41.3K

$85.3K

How much do remote machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine learning in Albuquerque, NM is $41,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Albuquerque, NM?

The most popular types of Machine Learning jobs in Albuquerque, NM are:

What are popular job titles related to Remote Machine Learning jobs in Albuquerque, NM?

For Remote Machine Learning jobs in Albuquerque, NM, the most frequently searched job titles are:

What cities near Albuquerque, NM are hiring for Remote Machine Learning jobs?

Cities near Albuquerque, NM with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Albuquerque, NM as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,277 per year, or $19.8 per hour.

Remote Loan Document Processor

Enova International

Albuquerque, NM • Remote

$17/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

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Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Enova International is hiring! We provide a pay rate of $17.00/hr, coupled with a quarterly performance bonus and various other incentive programs. This role is entirely remote; however, candidates must reside in the state of Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Utah, Wisconsin, Nevada, Arizona, New Mexico, Idaho, and Wyoming.

About Enova:
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.

About the role:
Enova operates multiple consumer lending brands, each featuring distinct offerings and customer criteria. As a Loan Processor, you will specialize in a specific brand through our comprehensive 3-week training program. Following training completion, your main responsibility will be processing loan applications, overseeing every loan in your assigned pipeline from initial submission to approval status.

Responsibilities:

  • Manage a queue of loan applications, ensuring compliance with established quality standards for processing
  • Initiate outbound calls to customers to verify details on loan applications and collect additional information if required
  • Resolve customer issues efficiently through phone, email, or fax communication channels
  • Keep customer accounts meticulously updated with accurate information

Requirements:

  • Experience in a call center setting is preferred
  • Proficient in phone communication and verbal skills, with a keen ability to actively listen
  • Familiarity with CRM systems and their practices
  • Customer-centric approach with adaptability to various personality types
  • Strong multitasking abilities, adept at setting priorities and managing time effectively

Compensation:
The budgeted hourly rate for this position is $17.00. Additional compensation for this role may include bonus. All full-time employees are eligible to participate in Company benefits, described in more detail at enova.com/culture

Benefits:

  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

Shifts available (Central Time):

  • Must be available to work an 8-hour shift between 8:00 AM and 8:00 PM Central Time. Some schedules may require working one weekend day.

Start Date:

  • 9/14/2026

Company Description

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.


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