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$29.8K

$112.3K

$163.3K

How much do remote machine learning researcher jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote machine learning researcher in Phoenix, AZ is $112,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $152,900.00 per year, depending on experience, location, and employer.

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Researcher, and why are they important?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.
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What cities near Phoenix, AZ are hiring for Remote Machine Learning Researcher jobs? Cities near Phoenix, AZ with the most Remote Machine Learning Researcher job openings:
Remote Machine Learning Researcher jobs near you
Corporate Attorney - AI Reviewer - Remote

Corporate Attorney - AI Reviewer - Remote

micro1 AI

Scottsdale, AZ • Remote

$100 - $150/hr

Part-time

Posted 14 days ago

Job description

Job Title: Attorney

Job Type: Contract

Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Key Responsibilities

  1. Design and implement robust legal rubrics for use in AI-driven document review and analysis processes.
  2. Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
  3. Analyze large volumes of litigation documents to identify issues, trends, and data points vital for AI improvement.
  4. Collaborate with cross-functional teams to translate legal insights into actionable requirements for AI development.
  5. Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice capabilities.
  6. Develop case strategies and motion practice templates that inform machine learning models in legal contexts.
  7. Continuously review and refine rubric criteria to align with evolving legal standards and best practices.


Required Skills and Qualifications

  1. Juris Doctor (JD) degree and active bar membership.
  2. Active bar admission in at least one U.S. jurisdiction
  3. Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
  4. Exceptional legal research, writing, and analytical abilities, with particular skill in issue spotting and document analysis.
  5. Demonstrated expertise in case strategy development and motion practice.
  6. Proven ability to manage discovery processes and oversee complex legal document review projects.
  7. Outstanding written and verbal communication skills, with meticulous attention to detail.
  8. Technological acumen and comfort working in remote, digital-first environments.


Preferred Qualifications

  1. Law Review or Journal Editorial Experience, including substantive editing, cite-checking, and publication review of scholarly legal articles is highly prefered.

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