2

Machine Learning Part Time Jobs in Lake Forest, CA

DISHWASHER (FULL AND PART TIME)

Fullerton, CA

$16.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Polishes silver using burnishing machine tumbler, chemical dip, buffing wheel and hand cloth ...

DISHWASHER (FULL AND PART TIME)

Fullerton, CA

$16.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Polishes silver using burnishing machine tumbler, chemical dip, buffing wheel and hand cloth ...

Dishwasher

Corona Del Mar, CA

$14 - $18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Dishwasher

Costa Mesa, CA · On-site

$20 - $22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Dishwasher

Costa Mesa, CA

$14 - $18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Dishwasher

Newport Beach, CA

$19.43 - $21.89/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Dishwasher

Costa Mesa, CA

$20 - $22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We continually aspire and invest in learning and development opportunities that support our team ... Flexible scheduling options with full-time and part-time hours * Paid time off and Holidays ...

Retail Sales Associate, part-time

Newport Beach, CA · On-site

$21/hr

  • Medical

  • Retirement

You understand the customer's needs and recommend personalized coffee and machine solutions ... Training and Learning: You will undergo a training period that sets you up for success well beyond ...

next page

Showing results 1-20

Machine Learning Part Time information

See Lake Forest, CA salary details

$27K

$45.2K

$93.3K

How much do machine learning part time jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning part time in Lake Forest, CA is $45,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the most commonly searched types of Machine Learning jobs in Lake Forest, CA?

The most popular types of Machine Learning jobs in Lake Forest, CA are:

What are popular job titles related to Machine Learning Part Time jobs in Lake Forest, CA?

For Machine Learning Part Time jobs in Lake Forest, CA, the most frequently searched job titles are:

What cities near Lake Forest, CA are hiring for Machine Learning Part Time jobs?

Cities near Lake Forest, CA with the most Machine Learning Part Time job openings:

Infographic showing various Machine Learning Part Time job openings in Lake Forest, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,170 per year, or $21.7 per hour.

Science and Conservation Associate

Laguna Ocean Foundation

Laguna Beach, CA • Remote

Part-time

Re-posted 11 days ago


Job description

Science and Conservation Associate

Location: Laguna Beach, California
Organization: Laguna Ocean Foundation (LOF)
Status: Part-time (Contingent upon funding)

About Laguna Ocean Foundation

The Laguna Ocean Foundation (LOF) is a nonprofit dedicated to protecting and restoring Laguna Beach’s coastal ecosystems through science, education, conservation, and community engagement. Working with universities, government agencies, and community partners, LOF is advancing innovative coastal monitoring by integrating field ecology with drones, GIS, machine learning, environmental DNA (eDNA), and citizen science.

Position Summary

LOF seeks a motivated Science and Conservation Associate to support the technical foundation of its research and conservation programs. This position transforms field observations into high-quality geospatial data that inform ecological monitoring, restoration, conservation planning, and public education across Laguna Beach’s Marine Protected Areas.

The Associate will manage geospatial workflows—from drone and underwater ROV surveys through machine-learning analysis, GIS integration, habitat mapping, and scientific visualization. Working closely with LOF biologists, university researchers, GIS specialists, and interns, the Associate will help build one of California’s most comprehensive long-term coastal spatial datasets while supporting scientific publications, grant-funded research, StoryMaps, and emerging conservation technologies.

Position contingent upon funding.

Primary Responsibilities

Remote Sensing & Field Operations

● Conduct drone surveys under FAA Part 107 regulations.

● Operate underwater ROVs to document marine habitats.

● Coordinate field logistics, equipment, permits, and data collection.

GIS & Spatial Analysis

● Process drone imagery into ortho-mosaics and elevation models.

● Maintain GIS databases and produce habitat, species, and change-detection maps.

● Integrate remote sensing with biological field data.

Artificial Intelligence & Data Science

● Develop and apply machine-learning models for habitat and species classification.

● Improve classification workflows and support Python-based geospatial automation.

Research & Communication

● Collaborate with scientists and partner institutions on applied conservation research.

● Assist with scientific publications, technical reports, grant proposals, and conference presentations.

● Develop Story-Maps, dashboards, and visual products that communicate science to diverse audiences.

Training & Program Support

● Mentor interns and volunteers in GIS, drone operations, and data collection.

● Help establish standardized monitoring and data management protocols.

Required Qualifications

● Bachelor’s degree in GIS, Geography, Environmental Science, Marine Science, Engineering, Computer Science, Data Science, Ecology, or related field (or equivalent experience).

● At least one year of experience in remote sensing, GIS, spatial analysis, or environmental monitoring.

● Proficiency with ArcGIS Pro and/or QGIS.

● Experience with Python for geospatial analysis or machine learning.

● Experience processing drone imagery using photogrammetry.

● Familiarity with image classification or computer vision workflows.

● Knowledge of geospatial data management and reproducible workflows.

● FAA Part 107 certification (or ability to obtain).

● Excellent organizational, communication, and technical writing skills.

Preferred Qualifications

● Experience in coastal or marine ecosystems.

● Underwater ROV experience.

● Familiarity with eDNA, ecological monitoring, or conservation research.

● Experience working with universities, government agencies, or nonprofits.

● Grant writing or peer-reviewed publication experience.

● Experience with ArcGIS Online, StoryMaps, Dashboards, or web GIS.

● Knowledge of TensorFlow, PyTorch, Detectron2, or similar frameworks.

● Experience with cloud-based geospatial workflows.

Please send your resume and cover letter to: Please send in your material by July 31 to info@lagunaoceanfoundation.org

E04JI800ui4140992ms