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Remote Applied Intelligence Jobs (NOW HIRING)

Flexible working arrangements with a remote-first or hybrid-friendly culture * Unlimited paid time ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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.

New

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 ...

Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for ...

... applied science, or ML engineering * Experience with speech-to-text, text-to-speech, audio ... The position will start remote and then will move into the hybrid schedule. NRG Energy is committed ...

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.

New

... and artificial intelligence to make value out of data. Provide consulting relating to the data ... Requirements: * MUST HAVE Six (6) years of relevant experience in applied research, big data ...

... and artificial intelligence to make value out of data. Provide consulting relating to the data ... Requirements: * MUST HAVE Six (6) years of relevant experience in applied research, big data ...

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Remote Applied Intelligence information

See salary details

$45.5K

$104.6K

$144K

How much do remote applied intelligence jobs pay per year?

As of Jun 27, 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:
Infographic showing various Remote Applied Intelligence job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 20% Part Time, 1% Temporary, and 8% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

Applied AI Engineer

Jobgether

On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in Netherlands.

This is a high-impact engineering role focused on building the foundational systems that power AI and machine learning across an entire organization. You will work at the intersection of platform engineering and applied AI, designing the infrastructure that enables teams to build, deploy, and operate LLM and ML-powered products at scale. Your work will shape how AI systems are accessed, monitored, evaluated, and governed in production environments. Rather than focusing on a single application, you will create shared capabilities used across multiple engineering and product teams. The environment is fast-moving, highly collaborative, and deeply technical, with a strong emphasis on reliability, scalability, and developer experience. This role is ideal for engineers who enjoy solving complex systems problems and enabling others to build better AI products.

Accountabilities:
  • Build and enhance platform services such as LLM routing/proxy systems, internal APIs, and reusable AI/ML tooling
  • Develop and improve LLM and ML operations capabilities, including observability, monitoring, evaluation, and deployment workflows
  • Support the full lifecycle of AI systems, including testing, scaling, optimization, and production reliability
  • Collaborate with product, infrastructure, and data teams to ensure consistent and reusable AI development practices
  • Contribute to system design decisions that improve performance, cost efficiency, safety, and latency of AI services
  • Evaluate and integrate emerging AI models, frameworks, and tools into shared platform capabilities
Requirements:
  • 4+ years of software engineering experience, including work on production systems
  • At least 1 year of experience in ML Ops, LLM Ops, or AI/ML infrastructure-related roles
  • Experience building backend systems, internal platforms, or developer tooling used by engineering teams
  • Strong understanding of the end-to-end ML/LLM lifecycle, including deployment and production operations
  • Solid engineering fundamentals with the ability to balance trade-offs across reliability, scalability, latency, cost, and maintainability
  • Strong collaboration and communication skills, with a team-oriented mindset
  • Familiarity with or willingness to work with TypeScript and Python in backend and platform contexts
Benefits:
  • Competitive compensation package including base salary, variable pay, and equity
  • Comprehensive healthcare coverage (medical, dental, and vision)
  • Flexible working arrangements with a remote-first or hybrid-friendly culture
  • Unlimited paid time off and generous parental leave policies
  • Learning and development budget to support continuous growth
  • Home office stipend and equipment support
  • Mental health and wellness resources
  • Opportunity to work on cutting-edge AI infrastructure used at scale
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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