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Part Time Machine Learning Visa Sponsorship Jobs

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

Ancestry

Machine Learning Engineer, Co-op

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

Harley-Davidson

Machinist Fabricator

Wauwatosa, WI

$43.95/hr

  • Medical

  • Retirement

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: All shifts Pay Rate: $43.95 At ... This position is not eligible for visa sponsorship Relocation: This position is eligible for ...

Harley-Davidson

Machinist Fabricator

Wauwatosa, WI · On-site

$43.95/hr

  • Medical

  • Retirement

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: All shifts Pay Rate: $43.95 At ... This position is not eligible for visa sponsorship Relocation: This position is eligible for ...

Harley-Davidson

Machinist Fabricator

Wauwatosa, WI · On-site

$43.95/hr

  • Medical

  • Retirement

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: All shifts Pay Rate: $43.95 At ... This position is not eligible for visa sponsorship Relocation: This position is eligible for ...

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Showing results 41-60

All JobsMachine Learning Visa Sponsorship JobsPart Time Machine Learning Visa Sponsorship Jobs

Part Time Machine Learning Visa Sponsorship information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 15, 2026, the average yearly pay for part time machine learning visa sponsorship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by part-time machine learning professionals working under visa sponsorship?

Part-time machine learning professionals on visa sponsorship often navigate unique challenges such as balancing strict work-hour limitations with project deadlines and expectations. They may also encounter complexities related to communication and integration with full-time teammates, especially if work schedules differ. Additionally, understanding visa compliance requirements and maintaining eligibility for continued sponsorship can add administrative responsibilities. However, many organizations offer structured onboarding and clear channels for support to help part-time sponsored employees succeed in their roles.

What is a part time machine learning visa sponsorship?

A Part Time Machine Learning Visa Sponsorship job is a role where an employer hires an individual to work in the field of machine learning on a part-time basis and is willing to sponsor their visa to work legally in the country. These positions are ideal for international candidates who have expertise in machine learning but require visa support. Responsibilities typically include developing, testing, and deploying machine learning models while adhering to the work hour limitations of a part-time position. Sponsorship may depend on the company's policies and local immigration regulations. It's important to check the specific visa type and eligibility requirements before applying.

What are the key skills and qualifications needed to thrive as a part-time machine learning engineer?

To thrive as a Part-Time Machine Learning Engineer, you generally need a strong background in mathematics, statistics, programming (often Python), and hands-on experience with machine learning algorithms, usually supported by a relevant degree or coursework. Familiarity with ML frameworks like TensorFlow or PyTorch, version control systems such as Git, and cloud platforms like AWS or GCP is typically required, and certifications can enhance your profile. Strong problem-solving abilities, effective communication, and time management skills are essential soft skills for collaborating on projects and balancing part-time responsibilities. These skills and qualifications are crucial for developing robust machine learning solutions efficiently while meeting project goals and deadlines.

What is the difference between Part Time Machine Learning Visa Sponsorship vs Part Time Data Scientist Visa Sponsorship?

AspectPart Time Machine Learning Visa SponsorshipPart Time Data Scientist Visa Sponsorship
Required CredentialsRelevant degrees in computer science, data science, or related fields; certifications in machine learningDegrees in data science, statistics, or related fields; certifications in data analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness analytics, research teams, consulting firms
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, consulting, and tech industries

Both roles require similar educational backgrounds and certifications, often working in tech or research environments. The main difference lies in focus: machine learning roles emphasize developing algorithms, while data scientist roles focus on data analysis and insights. Visa sponsorship options are similar, but job responsibilities and industry applications differ slightly.

More about Part Time Machine Learning Visa Sponsorship jobs

What are the most commonly searched types of Machine Learning Visa Sponsorship jobs?

The most popular types of Machine Learning Visa Sponsorship jobs are:

What job categories do people searching Part Time Machine Learning Visa Sponsorship jobs look for?

The top searched job categories for Part Time Machine Learning Visa Sponsorship jobs are:

Part Time Machine Learning Visa Sponsorship jobs near you
Infographic showing various Part Time Machine Learning Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Instructor, AI/Machine Learning, Simplilearn (Part time)

Fullstack Academy

Remote

$50 - $55/hr

Part-time

Re-posted 9 days ago

Job description

About: Simplilearn
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Requirements
ABOUT THE ROLE
As an Instructor at Simplilearn, you'll scale your impact as a Data science professional by training the next generation of professionals. You'll create dynamic learning experiences through deployment of instructional best practices that are student-centered and designed to meet the needs of adult learners. You'll facilitate lessons from the curriculum and will serve as subject matter expert to students. You will support students through exercises designed to build knowledge and skills and promote grit, problem-solving and a collaborative learning community. Ultimately, you will prepare students for the next chapter in their lives as they seek employment in the field of Data science.
This is a part-time, remote role, as classes at Simplilearn are delivered synchronously and are 100% online. A cohort runs for around 5-7 months of instruction, meets on weekday evenings( Monday, Wednesday and Thursday) from 5:30 PM to 8:30 PM PST. The total weekly part-time commitment is expected to be 9-12 hours.
RESPONSIBILITIES
In this role, you will:
  • Create a positive, professional and inclusive learning environment, by:
  • Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
  • Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
  • Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas
  • Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
  • Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
  • Providing constructive and timely feedback to students in the cohort
  • Assisting in the management of Performance Action Plans for individual students who need additional support
  • Serve as role model for students and as an ambassador for our brand, by:
  • Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
  • Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
  • Encouraging teamwork and seek feedback for continuous improvement

Working Hours -
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST
Weekend - 09:00 AM CST - 12:00 PM CST
Class Timings -
For Weekend sessions, 6-8 hrs of delivery
- For Weekday sessions, 9-12 hrs of delivery
- 1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts
- If content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches
***Feedback communication/General connects Minutes/hours are not billable
***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded)
QUALIFICATIONS:
You are a great candidate for this role is you have:
  • 8 + years of experience in the field of Data science/Machine learning/deep learning
  • Working knowledge of Applied Data science with Python
  • Good knowledge of Machine learning
  • Good knowledge of Deep learning with keras and tensorflow
  • A passion for teaching and an ability to explain complex technical concepts
  • A history of choosing a path of integrity
  • Excellent written and verbal skills

Benefits
Compensation:
The expected compensation for this role for candidates from United States is $50 -$55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.
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