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Remote Machine Learning Jobs in Miami, FL (NOW HIRING)

Apex Systems

AI engineer

Fort Lauderdale, FL · Remote

$109K - $131K/yr

REMOTE Employment Type: Contract to Perm Role Overview This is a hands-on engineering role where ... Required Qualifications Experience: 3+ years of experience in machine learning, AI engineering, or ...

Deloitte

AI and Data Science Engineer III

Miami, FL · On-site +1

$109K - $131K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

DataAnnotation

DevOps Engineer

Pompano Beach, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Backend Developer

Plantation, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

DevOps Engineer

Miami, FL · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Miami, FL

Remote Machine Learning information

See Miami, FL salary details

$24.4K

$40.7K

$84.2K

How much do remote machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote machine learning in Miami, FL is $40,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 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.

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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Miami, FL? The most popular types of Machine Learning jobs in Miami, FL are:
What are popular job titles related to Remote Machine Learning jobs in Miami, FL? For Remote Machine Learning jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Miami, FL look for? The top searched job categories for Remote Machine Learning jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Machine Learning jobs? Cities near Miami, FL with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Miami, FL as of May 2026, with employment types broken down into 6% Internship, 64% Full Time, 17% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,729 per year, or $19.6 per hour.
Insolvency Litigator - AI Trainer - Remote

Insolvency Litigator - AI Trainer - Remote

micro1 AI

Miami, FL • Remote

$100 - $150/hr

Part-time

Posted 12 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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