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Per Diem Artificial Intelligence Machine Learning Jobs

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Per Diem Artificial Intelligence Machine Learning information

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How much do per diem artificial intelligence machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for per diem artificial intelligence machine learning in the United States is $144,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,000.00 per year, depending on experience, location, and employer.

What does a per diem artificial intelligence machine learning professional do?

A Per Diem Artificial Intelligence Machine Learning professional works on a temporary or as-needed basis to develop, implement, and optimize AI and machine learning models. Their responsibilities may include data analysis, model training, algorithm development, and collaborating with teams to solve specific problems using AI solutions. This role provides flexibility for both the employer and the professional, often focusing on short-term projects or filling gaps in expertise. Per diem positions are common in organizations needing specialized skills for particular tasks without committing to a full-time hire.

What are the key skills and qualifications needed to thrive as a per diem artificial intelligence machine learning professional?

To thrive as a Per Diem Artificial Intelligence Machine Learning Specialist, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a degree in a related field. Proficiency in programming languages like Python or R, familiarity with ML frameworks such as TensorFlow or PyTorch, and experience using cloud platforms are typically required. Strong problem-solving abilities, adaptability, and effective communication skills set top performers apart in this flexible role. These competencies enable specialists to swiftly deliver impactful AI solutions and collaborate well on diverse, project-based teams.

How does the flexible, per diem schedule impact project involvement and collaboration for artificial intelligence machine learning professionals?

Per diem AI/ML roles typically offer flexibility, allowing professionals to work on specific projects or tasks as needed. This structure means you may often collaborate remotely with cross-functional teams, contributing your expertise to targeted components rather than full project lifecycles. While this provides excellent work-life balance and exposure to diverse challenges, it also requires strong communication skills to stay aligned with rapidly evolving team goals. Additionally, per diem positions can serve as valuable opportunities for networking and building a varied portfolio, potentially leading to more permanent or advanced roles.

What is the difference between Per Diem Artificial Intelligence Machine Learning vs Per Diem Data Scientist?

AspectPer Diem Artificial Intelligence Machine LearningPer Diem Data Scientist
CredentialsTypically requires a degree in AI, ML, or related fields; certifications like TensorFlow or AWSRequires a degree in data science, statistics, or related fields; certifications like SAS, Python, or R
Work EnvironmentOften in tech companies, research labs, or healthcare; project-based, flexible hoursIn corporate, finance, or healthcare sectors; data analysis-focused, project-based
Industry UsageUsed in AI development, automation, and advanced analyticsUsed in data analysis, reporting, and predictive modeling

Per Diem Artificial Intelligence Machine Learning roles focus on developing AI and ML models, often requiring specialized technical skills. Per Diem Data Scientist positions emphasize analyzing data to inform business decisions. While both roles involve data and analytics, AI/ML roles are more technical and development-oriented, whereas Data Scientist roles focus on data interpretation and reporting.

What jobs can I get with artificial intelligence and machine learning?

With expertise in artificial intelligence and machine learning, you can pursue roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch.
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The top searched job categories for Per Diem Artificial Intelligence Machine Learning jobs are:

Infographic showing various Per Diem Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $144,009 per year, or $69.2 per hour.

Artificial Intelligence/Machine Learning Engineer

Everwatch

Annapolis Junction, MD • On-site

$47.60 - $108.18/hr

Other

Re-posted 20 days ago


Job description

Job Title
Artificial Intelligence/Machine Learning Engineer
Overview
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.
EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.
Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Responsibilities
Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI-enabled capabilities.
You will design and implement solutions that may include LLM-powered workflows, agent-based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments.
You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.
Join us. The world can't wait.
Qualifications
You Have:
  • Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
  • Experience designing or implementing LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration
  • Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
  • Experience with programming languages such as Python
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree, OR Master's degree and technical experience

Nice If You Have:
  • Experience engineering AI capabilities in on-premise or multi-classification environments
  • Experience with AWS or Azure, including work in restricted or classified environments
  • Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
  • Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
  • Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes
  • Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.
Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $47.60 to $108.18 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.
Job Locations
US-MD-Annapolis Junction
Skills
AI/ML, LLM, API, Python