2

Machine Learning Part Time Jobs in Florida (NOW HIRING)

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Familiarity with machine learning concepts and practical applications preferred * Experience with ...

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Familiarity with machine learning concepts and practical applications preferred * Experience with ...

... The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ... Familiarity with machine learning concepts and practical applications preferred * Experience with ...

next page

Showing results 1-20

Machine Learning Part Time information

See Florida salary details

$19.1K

$31.8K

$65.8K

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

As of May 29, 2026, the average yearly pay for machine learning part time in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 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 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 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 most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning jobs in Florida are:
What job categories do people searching Machine Learning Part Time jobs in Florida look for? The top searched job categories for Machine Learning Part Time jobs in Florida are:
What cities in Florida are hiring for Machine Learning Part Time jobs? Cities in Florida with the most Machine Learning Part Time job openings:
Infographic showing various Machine Learning Part Time job openings in Florida as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Online Data Analyst - Bilingual (Spanish)

Online Data Analyst - Bilingual (Spanish)

TELUS International

Tampa, FL • On-site, Remote

Part-time

Posted 21 days ago


Job description

Are you detail-oriented with a passion for language, research, and an interest in national and local geography? Imagine putting your research and language skills to work improving digital maps that millions of people rely on every day! 

Role Overview: 
In this role you'll conduct web-based evaluations to verify the accuracy of data, compare information across sources, and ensure the mapping content powering global navigation services is precise and relevant?all while working from home and on your own schedule! 

Requirements:

  • Fluency in English and Spanish 
  • Residency in the US for the past five years 
  • Familiarity with local business, media, sports, news, social media, and culture in the US 
  • Ability to follow guidelines and conduct online research 
  • Flexibility to handle diverse tasks including maps, news, and audio 
  • Daily access to broadband internet, computer, and relevant software 
  • Willingness to work on a freelance basis 

Assessment: 
To join the program, you will complete an open-book qualification assessment, and ID verification process. We will provide all guidelines and learning materials, and you can complete the exam at your convenience within a specific timeframe. 

Why join the TELUS Digital AI Community?

  • Flexibility: Work at your own pace from home 
  • Global impact: Be part of a 1 million+ strong AI Community 
  • Innovation: Support machine learning models for world-leading brands 
  • Growth: No previous professional experience required 
  • Long-term opportunity: This is a part-time, long-term, independent freelance position 

Equal Opportunity: 
All qualified applicants will receive consideration for a contractual relationship without regards to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At Telus Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants? qualifications, merits, competence, and performance without regards to any characteristic related to diversity. 

Apply today to join our dynamic and innovative team!