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Remote Ai Coding Jobs in Massachusetts (NOW HIRING)

YO AI Labs

Medical Auditor - Remote

Boston, MA · Remote

$50 - $70/hr

Remote Job Overview We are seeking experienced Medical Auditors to contribute their specialized ... AI systems by reviewing, evaluating, and refining medical coding and audit-related content. This ...

YO AI Labs

Medical Auditor - Remote

Boston, MA · Remote

$50 - $70/hr

Remote Job Overview We are seeking experienced Medical Auditors to contribute their specialized ... AI systems by reviewing, evaluating, and refining medical coding and audit-related content. This ...

Hbpublishing

Principal DevOps Architect

Boston, MA · Remote

$72 - $94.75/hr

AI coding experience * Experience with Jenkins What we offer: As a mission-driven global company ... While this role is open to remote candidates, individuals based in the Boston area will be ...

Spoiler Alert

Software Engineer

Boston, MA · On-site +1

$110 - $125K/hr

... AI tools throughout. You'll bring craft to your code and curiosity to our domain. You'll be ... Remote-first environment, with co-working access for locals in BOS, NYC, & DEN * Competitive salary ...

Motorola Solutions, Inc.

Senior AI Engineer (US Remote)

Waltham, MA · On-site +1

$180K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

  • Medical

  • Dental

  • Retirement

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

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All JobsAi Coding JobsRemote Ai Coding JobsRemote Ai Coding Jobs in Massachusetts

Remote Ai Coding information

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?

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 the most commonly searched types of Ai Coding jobs in Massachusetts?

The most popular types of Ai Coding jobs in Massachusetts are:

What are popular job titles related to Remote Ai Coding jobs in Massachusetts?

For Remote Ai Coding jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Ai Coding jobs in Massachusetts look for?

The top searched job categories for Remote Ai Coding jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Ai Coding jobs?

Cities in Massachusetts with the most Remote Ai Coding job openings:

Remote Ai Coding jobs near you
Infographic showing various Remote Ai Coding job openings in Massachusetts as of June 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Medical Auditor - Remote

YO AI Labs

Boston, MA • Remote

$50 - $70/hr

Full-time

Posted 5 days ago

Job description

Job Title: Medical Auditor

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Medical Auditors to contribute their specialized expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining medical coding and audit-related content. This opportunity is ideal for professionals with strong experience in outpatient professional fee coding, auditing, and academic medical center environments. No prior AI experience is required—your healthcare expertise is what matters most.

Key Responsibilities

  • Conduct detailed reviews and audits of outpatient professional fee coding records for accuracy, compliance, and quality.

  • Identify coding trends, gaps, risks, and opportunities for improvement.

  • Evaluate audit findings using knowledge of academic medical center protocols and industry best practices.

  • Document audit results and provide clear written explanations to support AI training and development.

  • Provide expert feedback on complex coding, documentation, and auditing scenarios.

  • Collaborate with project teams to analyze ambiguous coding and compliance cases.

  • Support audit program management initiatives using healthcare coding and compliance expertise.

Required Skills

  • Outpatient Professional Fee Coding

  • Coding Auditing

  • Academic Medical Center Experience

  • Audit Program Management

  • Medical Coding Guidelines

  • Compliance Review

  • Documentation Analysis

  • Quality Assurance

  • Written & Verbal Communication

Preferred Qualifications

  • 10+ years of experience in medical coding, with a focus on outpatient professional fee coding and auditing.

  • Direct experience conducting or managing audits within academic medical centers.

  • Strong understanding of medical coding guidelines, compliance regulations, and audit methodologies.

  • Proven ability to identify issues and provide actionable recommendations.

  • Excellent written and verbal communication skills with the ability to explain complex findings clearly.

  • Experience managing audit programs and navigating the unique challenges of academic healthcare environments.