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Remote Python Ai Jobs in Irvington, NJ (NOW HIRING)

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

Posted today

Forward Deployed AI Engineer, East

New York, NY ยท On-site +1

$155K - $190K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable ...

Remote Commitment: 35 hours/week Role Responsibilities * Design realistic, multi-step software ... Build reference solutions in Python with setup and checks for clear, verifiable answers. * Utilize ...

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... Python, Rust) Type: Contract Compensation: $70-$110/hour Location: Remote Commitment: 40 hours/week ... Guide research and engineering teams to close knowledge gaps and improve AI model performance in ...

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Remote Python Ai information

See Irvington, NJ salary details

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$59

$88

How much do remote python ai jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote python ai in Irvington, NJ is $59.80, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $67.93 per hour, depending on experience, location, and employer.

What remote jobs can you get with Remote Python Ai?

Remote Python AI skills can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI research scientist. These positions often involve developing AI models, working with Python libraries like TensorFlow or PyTorch, and can be performed on flexible schedules from anywhere with internet access.

What skills and qualifications are needed to thrive as a remote Python AI developer?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What is a remote Python AI job?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are popular job titles related to Remote Python Ai jobs in Irvington, NJ? For Remote Python Ai jobs in Irvington, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Irvington, NJ look for? The top searched job categories for Remote Python Ai jobs in Irvington, NJ are:
What cities near Irvington, NJ are hiring for Remote Python Ai jobs? Cities near Irvington, NJ with the most Remote Python Ai job openings:

AI Programmer Analyst - Remote

Cyber Resource

New York, NY โ€ข Remote

Contractor

Posted 9 days ago


Job description

JOB DESCRIPTION
Designs, develops, evaluates, and implements enterprise AI solutions that address business challenges and improve operational outcomes. Possesses both a strong understanding of AI concepts, model architectures, and emerging technologies, as well as hands-on experience developing AI applications using enterprise-approved AI platforms, frameworks, and development tools. Demonstrates the ability to assess and apply diverse AI model types including large language models (LLMs), machine learning models, agent-based frameworks, retrieval-augmented generation (RAG), and other AI technologies to deliver practical business value. Has real-world experience taking AI initiatives from problem definition and requirements gathering through solution design, model selection, implementation, testing, deployment, monitoring, and continuous improvement.

Primary Responsibilities:
Partner with business and technology teams to identify and evaluate opportunities for AI-driven solutions
Design, prototype, develop, test, and deploy AI applications and intelligent automation solutions
Evaluate and select appropriate AI models, frameworks, and architectures to meet specific business objectives
Develop and refine prompts, workflows, agents, and retrieval strategies to improve AI solution effectiveness
Integrate AI capabilities with enterprise systems, databases, APIs, and business processes
Monitor AI solution performance, accuracy, reliability, and adoption, and recommend improvements as needed
Ensure compliance with enterprise security, governance, privacy, and Responsible AI standards
Document solution designs, technical specifications, key decisions, testing results, and implementation procedures
Stay current with emerging AI technologies, tools, and industry best practices, and recommend adoption where appropriate
Achieve assigned deliverables with high quality within defined budgets and timelines
Ability to interface with technology managers and business users throughout the company
Design and implement AI-driven monitoring pipelines that ingest server, database, and application logs to predict system anomalies, suggest real-time resolutions, and automate post-incident root-cause analysis


Experience 2 - 10 years
Job Site Remote
Organization Unit IT WORK
Management Solutions IT Solutions Delivery
Job Category Information Technology

TECHNICAL SKILLS
Must Have Ability to evaluate, compare, and select appropriate AI technologies based on business and technical requirements
Experience integrating AI solutions with enterprise systems, APIs, databases, and business applications
Experience with cloud-based AI services and enterprise AI platforms
Experience working with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI Agents, prompt engineering, and model orchestration frameworks
Git, DevOps, CI/CD practices, and version control
Hands-on experience with Azure AI, Microsoft Copilot Studio, Gemini Enterprise, Spark AI development platforms, frameworks, and tools
Python development and AI-related libraries/frameworks SQL and data analysis skills
Strong understanding of AI/ML concepts, model evaluation techniques, model limitations, and responsible AI practices

Nice To Have
Experience applying AI/ML to IT operations (AIOps), specifically in predictive log analysis, automated incident remediation, and automated root-cause analysis