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Remote Ai Coding Jobs in Boston, MA (NOW HIRING)

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... no code platforms, and generative AI tools. * Background in RAG systems, model fine tuning ...

eClinical Solutions

AI Engineer

Mansfield, MA · On-site +1

Champion AI-driven development practices across the team - using AI coding assistants and agentic ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

eClinical Solutions

AI Engineer

Mansfield, MA · On-site +1

Champion AI-driven development practices across the team - using AI coding assistants and agentic ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

LiveData

DevOps Engineering Manager

Boston, MA · On-site +1

$57.25 - $78.50/hr

Use AI coding assistants and automation tools as part of daily workflows. Requirements What You ... Experience supporting remote engineering teams and coordinating operational work across time zones ...

LiveData

DevOps Engineering Manager

Boston, MA · Remote

$54 - $74/hr

Use AI coding assistants and automation tools as part of daily workflows. Requirements What You ... Experience supporting remote engineering teams and coordinating operational work across time zones ...

LiveData

Senior Software Engineer - RPA v2

Cambridge, MA · On-site +1

$133K - $176K/yr

You will be a key part of our small, AI-native dev team that builds inside Claude Code and VS Code ... Work Location This is a fully remote opportunity. However, you must be able to meet approximately ...

LiveData

Senior Software Engineer - RPA v2

Cambridge, MA · Remote

$125K - $165K/yr

You will be a key part of our small, AI-native dev team that builds inside Claude Code and VS Code ... Work Location This is a fully remote opportunity. However, you must be able to meet approximately ...

WEX

Senior Software Engineer - Semantic Data Lake

Boston, MA · Remote

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... We're looking for an AI-native engineer: someone who builds with modern AI coding tools (Claude ...

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Remote Ai Coding information

See Boston, MA salary details

$18

$23

$25

How much do remote ai coding jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote ai coding in Boston, MA is $23.36, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $24.81 per hour, depending on experience, location, and employer.

What is remote AI coding?

Remote AI coding refers to the practice of developing and deploying artificial intelligence models and applications from a remote location, rather than working onsite at a company’s office. Remote AI coders use programming languages like Python, machine learning frameworks, and cloud platforms to create solutions such as chatbots, recommendation systems, and data analysis tools. This role allows professionals to collaborate with teams and clients across the globe using online communication and version control tools. Remote AI coding offers flexibility, access to a wider range of job opportunities, and the ability to work from anywhere with a reliable internet connection.

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

To thrive as a Remote AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Git, and cloud platforms (e.g., AWS, Google Cloud) is typically required, along with certifications in AI or data science as a plus. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for collaborating remotely and managing independent tasks. These competencies enable efficient project delivery, innovation, and effective teamwork in a distributed work environment.

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

AspectRemote Ai CodingData Scientist
Required CredentialsProgramming skills, AI/ML knowledge, sometimes certificationsStatistics, programming, often advanced degrees
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries
Industry UsageTech, AI startups, software firmsFinance, healthcare, tech, research
Common Search/ComparisonYesNo

Remote Ai Coding involves developing AI algorithms and models primarily through programming, often in a remote setting within tech-focused companies. Data Scientists analyze data to extract insights, requiring statistical expertise and often working across various industries. While both roles may work remotely, Remote Ai Coding is more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

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

Remote AI coding professionals often encounter challenges such as collaborating across time zones, maintaining clear communication with team members, and managing complex projects without in-person oversight. To overcome these, it's important to establish regular check-ins using collaboration tools like Slack or Zoom, document code and project updates thoroughly, and leverage version control systems such as Git. Proactively communicating progress and blockers helps ensure alignment and smooth teamwork, even when working remotely.
What are popular job titles related to Remote Ai Coding jobs in Boston, MA? For Remote Ai Coding jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Coding jobs in Boston, MA look for? The top searched job categories for Remote Ai Coding jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Ai Coding jobs? Cities near Boston, MA with the most Remote Ai Coding job openings:
Remote Ai Coding jobs near you

Remote AI Architect

Globalchannelmanagement

Boston, MA • Remote

$90 - $92/hr

Full-time

Re-posted 18 days ago

Job description

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts.

AI Architect requires:

  • Strong understanding of data governance, privacy, security, and model risk management.
  • Prior experience with large-scale transformation programs.
  • equired Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in application development, engineering, or solution delivery roles.
  • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture.
  • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems).
  • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design).
  • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling.
  • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores.
  • Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
  • Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization.

AI Architect duties:

Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability.

Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling.

Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies.

Mentor engineers, analysts, and product teams on AI best practices.