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Remote Applied Intelligence Jobs (NOW HIRING)

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... Machine learning applied to data systems * Experience with technologies such as: * Python * ML ...

NewRocket

AI Data Intelligence Lead

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... Machine learning applied to data systems * Experience with technologies such as: * Python * ML ...

Centific

Applied Reinforcement Learning Engineer

Palo Alto, CA or Seattle, WA (Hybrid/Remote) About the Team Centific AI Research advances ... intelligence. Our mission is to transform data, signals, and human insight into next-generation ...

GRVTY

Senior Scientist

Herndon, VA · On-site +1

$94K - $128K/yr

Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation. * Prior experience in a defense or intelligence community environment supporting classified programs.

New

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation. * Prior experience in a defense or intelligence community environment supporting classified programs.

NRG

Sr Software Engineer, Video Intelligence

WA · Remote

$150K - $180K/yr

... applied science, or ML engineering; or * Master's degree in Computer Science, Software Engineering ... The position will start remote and then will move into the hybrid schedule. NRG Energy is committed ...

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Remote Applied Intelligence information

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How much do remote applied intelligence jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote applied intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Remote Applied Intelligence roles, and how can they be addressed?

Remote Applied Intelligence professionals often encounter challenges such as ensuring effective collaboration across distributed teams, maintaining clear communication with stakeholders, and managing data security when working with sensitive information offsite. To address these issues, it's important to use secure, cloud-based collaboration tools, establish regular check-ins with colleagues, and follow best practices for data privacy. Staying proactive about communication and leveraging project management platforms can help remote team members stay aligned and productive.

What is a Remote Applied Intelligence job?

A Remote Applied Intelligence job involves leveraging artificial intelligence, machine learning, data analytics, and related technologies to solve business problems and drive decision-making, all while working from a remote location. Professionals in this field analyze large data sets, build predictive models, and develop intelligent solutions that can optimize processes, improve customer experiences, or uncover new business opportunities. The 'remote' aspect means the work is performed outside of a traditional office, offering flexibility and the ability to collaborate with global teams using digital tools.

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

To excel as a Remote Applied Intelligence professional, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Proficiency in technical tools such as Python, R, SQL, cloud computing platforms, and relevant AI or data science certifications is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies enable professionals to extract actionable insights from data, drive innovation, and succeed in a distributed work environment.
More about Remote Applied Intelligence jobs
What cities are hiring for Remote Applied Intelligence jobs? Cities with the most Remote Applied Intelligence job openings:
What are the most commonly searched types of Applied Intelligence jobs? The most popular types of Applied Intelligence jobs are:
What states have the most Remote Applied Intelligence jobs? States with the most job openings for Remote Applied Intelligence jobs include:
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Remote Applied Intelligence jobs near you
Infographic showing various Remote Applied Intelligence job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Remote

Full-time

Posted 25 days ago

Job description

Job Summary:
VetsEZ is transforming healthcare delivery through technology and innovation. They are seeking an Applied AI Product Engineer to develop intelligent healthcare technology platforms and collaborate with cross-functional teams to enhance patient engagement and operational efficiency.
Responsibilities:
• Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
• Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
• Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
• Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
• Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
• Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
• Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
• Hands-on experience delivering at least 2–3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
• Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
• Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
• Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.
Preferred:
• Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
• Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
• Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
• Ability to obtain a government clearance is a plus.
Company:
VetsEZ provides IT services & solutions such as data solutions, software solutions, PMO, and competitive edge solutions. Founded in 2012, the company is headquartered in San Diego, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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