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Remote Machine Learning Jobs in New Mexico (NOW HIRING)

Cardinal Health

REMOTE DETAILS: You will work remotely, full-time. It will require a dedicated, quiet, private, distraction free environment with access to high-speed internet. We will provide you with the computer ...

Cardinal Health

... LI-Remote Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values ...

Cardinal Health

Software Engineer

Santa Fe, NM · Remote

... LI-Remote Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in New Mexico

Remote Machine Learning information

See New Mexico salary details

$24.7K

$41.3K

$85.3K

How much do remote machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote machine learning in New Mexico is $41,267.00, 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 are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

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.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

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.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in New Mexico? The most popular types of Machine Learning jobs in New Mexico are:
What are popular job titles related to Remote Machine Learning jobs in New Mexico? For Remote Machine Learning jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in New Mexico look for? The top searched job categories for Remote Machine Learning jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Machine Learning jobs? Cities in New Mexico with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Accountants - AI Training - Albuquerque, US

Prolific Academic Ltd

Albuquerque, NM • Remote

$60/hr

Full-time

Posted 25 days ago

Job description

Accounting Professionals - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Accountant Subject Matter Experts to join our Expert Network to help train and evaluate cutting-edge AI models using professional accounting insight. If you have an accounting background, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific's Accounting Projects as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay between up to $60 per hour depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Accounting Background: you have an accounting degree, professional qualification (ACCA, CPA, ACA, CIMA etc.), or relevant experience as an accountant.
  • Attention to Detail: the ability to review complex documentation and identify key nuances or inaccuracies.
  • Critical Thinking: an "accounting mind" capable of providing logical, fact-based reasoning to support your answers.
  • Reliability: the ability to work independently on ad hoc, remote assignments that fit around your existing commitments.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Document Evaluation: Reviewing complex financial statements, audit reports, and regulatory filings to ensure data integrity.
  • AI Model Guidance: answering specific questions based on document content to help AI models understand technical or formal language.
  • Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with professional standards and logical accounting frameworks.
  • Knowledge Sharing: providing expert feedback to help bridge the gap between human expertise and machine learning.
Key Technologies
  • Prolific Platform: the secure workspace where you will access and complete your assignments.
  • LinkedIn: used solely for a quick professional eligibility check during onboarding.
  • Standard Web Tools: secure access to document-viewing software as required by specific projects.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional accountancy expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Apply directly here: https://app.prolific.com/register/participant/waitlist/?campaign_code=C17MYYC0

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By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific's use of your personal information.