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Part Time Artificial Intelligence Machine Learning Jobs

... for part-time and/or substitute instructors to teach foundational courses in Artificial ... tools (e.g., machine learning, generative AI, data analytics, prompt engineering) * Strong ...

... for part-time and/or substitute instructors to teach foundational courses in Artificial ... tools (e.g., machine learning, generative AI, data analytics, prompt engineering) * Strong ...

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Part Time Artificial Intelligence Machine Learning information

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$13

$26

$48

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

As of Aug 7, 2026, the average hourly pay for part time 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 a part time artificial intelligence machine learning job?

A Part Time Artificial Intelligence (AI) Machine Learning (ML) job involves working fewer hours than a full-time position, typically focusing on tasks related to building, training, and evaluating AI and ML models. These roles may include data preprocessing, developing algorithms, testing models, or assisting with research and development. Part-time AI/ML positions are ideal for students, professionals seeking flexible work schedules, or those looking to gain experience in the field while balancing other commitments. Responsibilities and required skills can vary depending on the employer and the specific project needs.

What are some typical projects or tasks assigned to part time artificial intelligence machine learning professionals?

Part-time Artificial Intelligence Machine Learning professionals are often tasked with supporting ongoing model development, data preprocessing, and conducting exploratory data analysis. They may assist in training and evaluating models, annotating datasets, and preparing technical documentation. Collaboration is common with full-time team members, including data scientists, engineers, and project managers, to ensure smooth integration and deployment of models. These roles can offer exposure to real-world AI challenges without the commitment of a full-time position.

What are the key skills and qualifications needed to thrive as a part time artificial intelligence machine learning professional, and why are they important?

To thrive as a Part Time Artificial Intelligence Machine Learning professional, you typically need a solid background in mathematics, statistics, programming (often Python), and a relevant degree or coursework in computer science or data science. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and sometimes certifications like Google AI or AWS Machine Learning are highly valued. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex technical findings into actionable insights and collaborating with cross-functional teams. These skills and qualifications ensure the ability to develop robust AI solutions efficiently and contribute meaningfully to projects, even in a part-time capacity.
More about Part Time Artificial Intelligence Machine Learning jobs
What cities are hiring for Part Time Artificial Intelligence Machine Learning jobs? Cities with the most Part Time 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 Part Time Artificial Intelligence Machine Learning jobs? States with the most job openings for Part Time Artificial Intelligence Machine Learning jobs include:
What job categories do people searching Part Time Artificial Intelligence Machine Learning jobs look for? The top searched job categories for Part Time Artificial Intelligence Machine Learning jobs are:
Infographic showing various Part Time Artificial Intelligence Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. 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.

Staff Machine Learning Engineer

Micron Technology

Boise, ID • On-site

Part-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Analyze existing data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Build knowledge by keeping up with the latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process. Build and maintain Data/Solution Pipeline to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Build custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments. Responsible for selecting the best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizational best practices. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Build enterprise-grade applications leveraging Generative AI technologies, including large language models (LLMs), multimodal architectures, and advanced prompt engineering. Fine-tune pre-trained models on domain-specific datasets, Implement retrieval-augmented generation (RAG) for knowledge grounding, and build agentic systems that orchestrate autonomous workflows and integrate with domain-specific APIs. May telecommute part-time.
Employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or related field and 3 years of experience in the job offered or in a related occupation.
Position requires:
1. Building and executing end to end ML systems
2. TensorFlow, PyTorch, and scikit learn.
3. Prediction (regression) and classification algorithms; deep learning, reinforcement learning, and generative AI
4. Python or Java
5. Pub/Sub, Solace, or Kafka
6. Developing ML/AI solutions in GCP, Azure, or AWS
7. Docker and Kubernetes
8. Developing ETL/ELT pipelines using Kubeflow, Dataflow, or Airflow
9. SQL
10. Data structures and schemas
11. APIs to expose trained machine learning models for consumption
12. Building enterprise-grade applications using Generative AI technologies
13. Retrieval-Augmented Generation (RAG) for knowledge grounding and fine-tuning pre-trained models on domain-specific datasets
14. Designing and implementing agentic systems that orchestrate autonomous workflows and integrate with APIs
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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