2

Remote Ai Developer Jobs (NOW HIRING)

About This is a remote role in the US and Canada NEOGOV is a proud AI-Enabled SaaS leader in the ... We are looking for a highly experienced Agentic AI Engineer with 7+ years of experience to design ...

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00898 Department ... We are looking for a highly experienced Agentic AI Engineer with 7+ years of experience to design ...

Senior Agentic AI Developer

El Segundo, CA · On-site +1

$58 - $76.75/hr

About This is a remote role in the US and Canada NEOGOV is a proud AI-Enabled SaaS leader in the ... We are looking for a highly experienced Agentic AI Engineer with 7+ years of experience to design ...

Senior Agentic AI Developer

El Segundo, CA · On-site +1

$58 - $76.75/hr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00898.1 Department ... We are looking for a highly experienced Agentic AI Engineer with 7+ years of experience to design ...

... AI Developer to help lead the charge. In this role, you'll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the ...

Senior Gen AI Developer

El Segundo, CA · On-site +1

$182K - $228K/yr

KBR is seeing a Senior Gen AI Developer to join our team in El Segundo, CA (remote). The MILSATCOM Systems Engineering, Integration, and Test (MSEIT) effort provides leading edge Systems Engineering ...

... AI Developer to support Corporate Supply Chain Operations. The individual must have a desire to ... Remote, proximity to Orlando, FL or Grand Prairie, TX is preferred

next page

Showing results 1-20

Remote Ai Developer information

See salary details

$40K

$129.3K

$158.5K

How much do remote ai developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote ai developer in the United States is $129,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often requiring advanced skills, extensive experience, and sometimes equity or performance-based bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

What engineers make $500,000?

Senior AI developers and machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Achieving this level often requires expertise in deep learning, natural language processing, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities or equity compensation.

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

AspectRemote Ai DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, remote teams focused on AI projectsResearch firms, tech companies, analytics teams, often remote or on-site
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges Remote AI Developers face when collaborating with distributed teams, and how can they address them?

Remote AI Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication, and maintaining alignment on project goals. To address these issues, it's important to establish regular check-ins, use collaborative tools for code sharing (like GitHub) and documentation (such as Confluence), and actively participate in virtual meetings. Staying proactive about communication and documentation helps ensure smooth collaboration and keeps everyone on the same page, regardless of location.

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

To thrive as a Remote AI Developer, you need strong programming skills (especially in Python), deep knowledge of machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set outstanding candidates apart. These competencies ensure you can build robust AI solutions independently, collaborate seamlessly with distributed teams, and adapt to rapid technological advancements.

What are Remote AI Developers?

Remote AI Developers are software professionals who design, build, and implement artificial intelligence solutions while working from locations outside of a traditional office, such as their home or a co-working space. They collaborate with teams virtually to develop machine learning models, automate processes, and create intelligent applications. Their responsibilities often include data analysis, training algorithms, and deploying AI models, all conducted using remote communication and project management tools. This role requires strong programming skills, knowledge of AI frameworks, and the ability to work independently.

Can you work remotely as an AI engineer?

Yes, AI engineers can often work remotely, especially in roles involving software development, data analysis, and model training that can be performed using cloud platforms and collaboration tools. Many companies offer remote positions for AI developers, requiring skills in programming, machine learning frameworks, and communication tools.

What is the salary of remote AI developer?

The salary of a remote AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, skills, and the company's location. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python often command higher salaries. Remote positions may also include benefits such as flexible schedules and opportunities for skill development.
More about Remote Ai Developer jobs
What cities are hiring for Remote Ai Developer jobs? Cities with the most Remote Ai Developer job openings:
What are the most commonly searched types of Ai Developer jobs? The most popular types of Ai Developer jobs are:
What states have the most Remote Ai Developer jobs? States with the most job openings for Remote Ai Developer jobs include:
Infographic showing various Remote Ai Developer job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,348 per year, or $62.2 per hour.

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC • On-site, Remote

Other

Medical, Dental, Vision, Retirement

Posted 11 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).