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Per Diem Artificial Intelligence Machine Learning information

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$68.5K

$144K

$190.5K

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

As of Jul 23, 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 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.

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 are the key skills and qualifications needed to thrive as a Per Diem Artificial Intelligence Machine Learning Specialist, and why are they important?

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.
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Per Diem Artificial Intelligence Machine Learning jobs near you
Infographic showing various Per Diem Artificial Intelligence Machine Learning job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $144,009 per year, or $69.2 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 2 days ago

Job description

PROLIM Global Corporation (www.prolim.com) is hiring an Artificial Intelligence/Machine Learning Engineer 1 for a leading Government Client.
Job Title: Artificial Intelligence/Machine Learning Engineer
Location: Austin, TX - Hybrid - Onsite and Telework
Duration: 12 Months (Extendable)
Job Summary
We are seeking an experienced Artificial Intelligence/Machine Learning Engineer to support enterprise-level artificial intelligence initiatives. The ideal candidate will provide specialized expertise in AI solution development, enterprise search implementation, AI agent deployment, AI inventory management, and AI governance processes.
This role will support critical AI transformation initiatives, including improving information retrieval capabilities, implementing AI monitoring solutions, developing AI-powered automation agents, and establishing governance standards aligned with cybersecurity, privacy, and technology compliance requirements.
Key Responsibilities
  • Build and deploy components of enterprise search solutions to improve information discovery and retrieval.
  • Assist with configuration, implementation, rollout, and documentation of AI inventory management systems.
  • Support the development, testing, and deployment of AI agents aligned with business unit requirements.
  • Develop technical controls, documentation, and processes supporting AI governance adoption.
  • Collaborate with technical teams and business stakeholders to implement AI-driven solutions.
  • Support AI model integration, testing, monitoring, and operationalization activities.
  • Assist in establishing AI governance frameworks, standards, and compliance processes.
  • Document AI workflows, technical processes, system configurations, and implementation procedures.
  • Analyze business requirements and translate them into AI/ML technical solutions.
  • Support troubleshooting and continuous improvement of AI systems and applications.

Required Skills & Qualifications
  • 1+ year of experience building and deploying components of enterprise search tools.
  • 1+ year of experience configuring, implementing, and documenting AI inventory systems.
  • 1+ year of experience supporting implementation and testing of AI agents.
  • 1+ year of experience developing technical controls, documentation, and processes for AI governance adoption.
  • Experience with Artificial Intelligence and Machine Learning concepts, tools, and implementation practices.
  • Experience supporting enterprise AI initiatives and technology transformation projects.
  • Knowledge of AI governance, cybersecurity, privacy, and compliance requirements.
  • Experience with AI solution documentation and technical process development.
  • Ability to collaborate with cross-functional teams to deliver AI-driven solutions.
  • Strong analytical, problem-solving, and technical communication skills.

Preferred Qualifications
  • Experience supporting government or public sector AI initiatives.
  • Experience implementing enterprise search platforms.
  • Experience working with AI inventory, monitoring, and governance platforms.
  • Experience developing AI agents and automation solutions.
  • Experience supporting large-scale enterprise technology environments.

Interested Candidates
Please send your updated resume and contact details to: anand.kanavalli@prolim.com
About PROLIM Corporation
PROLIM is a leading provider of end-to-end IT, PLM, and Engineering Services and Solutions for Global 1000 companies. We understand business as much as technology and help our customers improve profitability and efficiency through high-value consulting, staffing, engineering, and project management services.
Our offerings include Advisory Services, PLM Software & Services, Program Management, Solution Architecture, Training & Staffing, Cloud Solutions, Infrastructure Services, ERP Practices, Quality Assurance Services, and Engineering Services across a wide range of industries.

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