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Remote Ai Coding Jobs in Philadelphia, PA (NOW HIRING)

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Claude Code * Claude Cowork * AI Agents * Workplace Connectors Preferred Qualifications

Programmer - AI Trainer

Philadelphia, PA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Coder (this is an opportunity to work ...

AI Engineer

Broomall, PA · Remote

$175K - $190K/yr

... code quality and system reliability. This is a full-time, remote/work-from-home opportunity with a starting base salary of $175,000 - $190,000 annually; salary is commensurate with experience. The ...

No prior AI experience is required. Key Responsibilities * Design realistic technical evaluation ... code samples, and technical documents . * Create and curate source materials such as product ...

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Remote Ai Coding information

See Philadelphia, PA salary details

$17

$21

$24

How much do remote ai coding jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote ai coding in Philadelphia, PA is $21.70, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $23.03 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 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 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 the most commonly searched types of Ai Coding jobs in Philadelphia, PA?

The most popular types of Ai Coding jobs in Philadelphia, PA are:

What job categories do people searching Remote Ai Coding jobs in Philadelphia, PA look for?

The top searched job categories for Remote Ai Coding jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Ai Coding jobs?

Cities near Philadelphia, PA with the most Remote Ai Coding job openings:

Infographic showing various Remote Ai Coding job openings in Philadelphia, PA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $45,130 per year, or $21.7 per hour.

CUDA Software Engineer - Remote

YO AI Labs

Philadelphia, PA • Remote

$60 - $100/hr

Full-time

Posted 15 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.