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Weekend Artificial Intelligence Machine Learning Jobs

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Weekend Artificial Intelligence Machine Learning information

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$13

$26

$48

How much do weekend artificial intelligence machine learning jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for weekend artificial intelligence machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

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

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

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

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.
More about Weekend Artificial Intelligence Machine Learning jobs
What cities are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities with the most Weekend Artificial Intelligence Machine Learning job openings:
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs? The most popular types of Artificial Intelligence Machine Learning jobs are:
What states have the most Weekend Artificial Intelligence Machine Learning jobs? States with the most job openings for Weekend Artificial Intelligence Machine Learning jobs include:
Infographic showing various Weekend Artificial Intelligence Machine Learning job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.
Artificial Intelligence/Machine Learning Engineer, Junior

Artificial Intelligence/Machine Learning Engineer, Junior

Everwatch

Annapolis Junction, MD

$55.28 - $72.11/hr

Full-time

Posted 29 days ago


Job description

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.


Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can’t wait.


You Have: 

  • 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
  • Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
  • Familiarity with standard data science libraries and development tools
  • Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
  • Ability to collaborate within a team and communicate technical concepts clearly
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience

Nice If You Have: 

  • Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
  • Experience with version control tools such as Git and collaborative development environments
  • Knowledge of deep learning frameworks such as PyTorch or TensorFlow
  • Knowledge of large language models (LLMs) and generative AI concepts
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Knowledge of containerization technologies such as Docker or Kubernetes
  • Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
  • Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments 

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 $55.28 to $72.11 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.


TS/SCI CIP
US-MD-Annapolis Junction
AI/ML, LLM, API, Python