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Remote Ai Automation Jobs (NOW HIRING)

Huzzle

AI Engineer - Remote

This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment. Key Responsibilities

EnerSys

Senior Finance AI & Automation Developer

Raleigh, NC · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA area may be considered for a fully remote arrangement. Job Purpose The Senior Finance AI & Automation ...

EnerSys

Senior Finance AI & Automation Developer

Bethany, OK · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA area may be considered for a fully remote arrangement. Job Purpose The Senior Finance AI & Automation ...

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA area may be considered for a fully remote arrangement. Job Purpose The Senior Finance AI & Automation ...

EnerSys

Senior Finance AI & Automation Developer

Omaha, NE · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA area may be considered for a fully remote arrangement. Job Purpose The Senior Finance AI & Automation ...

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Remote Ai Automation information

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$37K

$107.1K

$163K

How much do remote ai automation jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote ai automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Remote AI Automation Specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What is a Remote AI Automation job?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.
More about Remote Ai Automation jobs
What cities are hiring for Remote Ai Automation jobs? Cities with the most Remote Ai Automation job openings:
What are the most commonly searched types of Ai Automation jobs? The most popular types of Ai Automation jobs are:
What states have the most Remote Ai Automation jobs? States with the most job openings for Remote Ai Automation jobs include:
What job categories do people searching Remote Ai Automation jobs look for? The top searched job categories for Remote Ai Automation jobs are:
Remote Ai Automation jobs near you
Infographic showing various Remote Ai Automation job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, 13% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

AI Engineer - Remote

Huzzle

Remote

Full-time

Posted 9 days ago

Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.
This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.
Key Responsibilities
  • Design, build, and deploy AI/ML models for real-world applications.
  • Develop and optimize AI-powered features using modern frameworks and APIs.
  • Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives.
  • Build AI pipelines for data processing, training, inference, and monitoring.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Integrate AI services into web applications, SaaS platforms, and internal tools.
  • Fine-tune and evaluate machine learning models for performance and scalability.
  • Maintain documentation and ensure AI systems follow security and compliance best practices.
  • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements
  • 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
  • Experience working with LLMs, generative AI, prompt engineering, or AI agents.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
  • Understanding of APIs, microservices, and backend development.
  • Experience with Docker, Git, and CI/CD workflows.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work remotely with global teams.
  • Bachelor's degree in Computer Science, AI, Data Science, or related field preferred.
  • Experience with AI automation tools and agent frameworks.
  • Knowledge of MLOps and model monitoring tools.
  • Familiarity with NLP, computer vision, or recommendation systems.
  • Experience building AI SaaS products or chatbots.
  • Exposure to FastAPI, Node.js, or React-based applications.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team

Apply