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Remote Ai Coding Jobs (NOW HIRING)

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The ... Use AI coding tools such as Claude Code or Codex while reviewing and validating generated code

Senior AI Engineer - Americas

$107K - $146K/yr

Remote - global applications welcome; please apply via the region closest to you Company: ChainGPT ... Use tools like Codex, Claude Code, and modern AI coding agents to dramatically increase engineering ...

AI Operations Engineer

$71K - $96K/yr

Description AI Ops Engineer Location Remote (United States), with core U.S. business hours required ... You will leverage AI coding assistants such as Claude Code or Codex as a standard part of your ...

Senior Software Engineer - AI Solutions

$125K - $165K/yr

You'll use every tool at your disposal-AI coding agents, low-code builders, LLM APIs, agentic ... Flexible working hours and remote work options. * Opportunities for professional growth and ...

We connect ads, social, influencers, retail media, and QR codes directly to retailer carts so ... Remote in United States. Responsibilities: • Design, build, and deploy AI agents using the Claude ...

Remote (East Coast candidates preferred) Duration: 6+ Months Role Summary We are looking for a ... Active user of AI coding tools such as Copilot, Cursor, Claude Code , etc. * Ability to establish ...

Remote (East Coast candidates preferred) Duration: 6+ Months Role Summary We are looking for a ... Active user of AI coding tools such as Copilot, Cursor, Claude Code , etc. * Ability to establish ...

Showing results 41-60

Remote Ai Coding information

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$17

$21

$23

How much do remote ai coding jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote ai coding in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 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?

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.
More about Remote Ai Coding jobs
What cities are hiring for Remote Ai Coding jobs? Cities with the most Remote Ai Coding job openings:
What are the most commonly searched types of Ai Coding jobs? The most popular types of Ai Coding jobs are:
What states have the most Remote Ai Coding jobs? States with the most job openings for Remote Ai Coding jobs include:
What job categories do people searching Remote Ai Coding jobs look for? The top searched job categories for Remote Ai Coding jobs are:
Infographic showing various Remote Ai Coding job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.

AI Engineer

Mondo

Raleigh, NC • Remote

$130K - $160K/yr

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Apply now: AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The start date is end of July / early August for this permanent salaried position with a one-year end date.

Job Title: AI Engineer Location-Type: Remote, Raleigh, NC area; onsite collaboration as needed Start Date Is: End of July / Early August Duration: Contract - salaried role with benefits and PTO; one-year end date (likely to extend/convert) Compensation Range: $130,000 – $160,000 base salary 10% annual performance-based bonus Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: The client is seeking a collaborative AI-focused software engineer to help evaluate AI use cases, build prototypes, expand data accessibility, and support backend engineering initiatives across the business.

Day-to-Day Responsibilities:

  • Partner with business stakeholders to evaluate and prioritize AI use cases
  • Build prototypes, proofs of concept, and AI-enabled solutions
  • Develop backend services, APIs, and integrations using Elixir
  • Work with SQL databases and enterprise data systems
  • Support data accessibility initiatives tied to the client's internal data warehouse and ETL platform
  • Assist with MCP server and AI-driven data access initiatives
  • Use AI coding tools such as Claude Code or Codex while reviewing and validating generated code
  • Collaborate cross-functionally with product, engineering, and business teams

Minimum Requirements:

  • 3–6 years of software engineering experience
  • Current, extensive Elixir experience
  • Strong SQL database experience
  • Experience building API backends
  • Comfort using or learning AI-assisted coding tools such as Claude Code or Codex
  • Strong communication and collaboration skills
  • Comfortable working directly with business stakeholders
  • Based in the Raleigh, NC area, ideally within roughly 50 miles
  • Excited by experimentation, ambiguity, and rapid iteration
Preferred Qualifications:
  • Experience with MCP servers
  • Experience with Ash framework
  • Experience building data platforms, ETL pipelines, or warehouse solutions
  • Startup or small-team engineering background
  • Experience supporting enterprise AI initiatives
  • Experience translating business requirements into technical prototypes