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Remote Machine Learning Visa Sponsorship Jobs in Boca Raton, FL

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

... States without visa sponsorship * A clinical research professional with 2+ years of on-site ... Learning and development opportunities through structured training and career pathways Benefits may ...

Finance Transformation Analyst

FL · On-site +1

$96K - $192K/yr

This position follows a remote work model within the USA . Key Responsibilities: 1) Finance ... Candidates must be authorized to work in the USA without restriction; visa sponsorship is not ...

Oracle DBA I

West Palm Beach, FL · On-site +1

$76K - $120K/yr

We do not offer visa sponsorship now or in the future. Compensation In the spirit of pay ... Our award-winning training and development programs empower our employees with ongoing learning ...

Showing results 41-60

Remote Machine Learning Visa Sponsorship information

See Boca Raton, FL salary details

$79.2K

$120.5K

$162.3K

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

As of Aug 10, 2026, the average yearly pay for remote machine learning visa sponsorship in Boca Raton, FL is $120,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $136,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote machine learning engineers working under visa sponsorship, and how can they be addressed?

Remote machine learning engineers on visa sponsorship often face unique challenges such as managing time zone differences with global teams, ensuring effective communication despite cultural and language barriers, and navigating complex legal and administrative visa requirements. Being proactive about clarifying expectations, leveraging collaboration tools, and maintaining regular communication with both team members and HR/legal departments can help address these obstacles. Additionally, staying organized and informed about visa compliance can reduce stress and ensure a smooth employment experience.

What is a remote machine learning visa sponsorship?

A Remote Machine Learning Visa Sponsorship job is a position in the field of machine learning that allows you to work from any location while the employer supports your application for a work visa. These jobs typically involve developing algorithms and models for tasks such as data analysis, natural language processing, or computer vision. Employers who offer visa sponsorship help qualified international candidates with the legal process required to work in a different country. This can include filing necessary paperwork, covering visa fees, and sometimes assisting with relocation. Remote roles provide flexibility, making it possible to collaborate with international teams without being physically present in the company’s office.

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

To excel as a Remote Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning frameworks. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of version control systems, is crucial. Strong problem-solving skills, self-motivation, and effective remote communication make candidates stand out in distributed teams. These skills are essential for building robust machine learning models, collaborating across time zones, and delivering results in a dynamic, global work environment.

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

AspectRemote Machine Learning Visa SponsorshipRemote Data Scientist Visa Sponsorship
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentDeveloping ML models, deploying algorithms, collaborating with engineering teamsAnalyzing data, building predictive models, communicating insights to stakeholders
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, e-commerce, consulting firms

Both roles often require advanced degrees and involve working with data, but Machine Learning roles focus more on developing algorithms and models, while Data Scientist roles emphasize data analysis and insights. Visa sponsorship options are similar, but the specific job functions differ slightly.

What are popular job titles related to Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL? For Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL look for? The top searched job categories for Remote Machine Learning Visa Sponsorship jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Machine Learning Visa Sponsorship jobs? Cities near Boca Raton, FL with the most Remote Machine Learning Visa Sponsorship job openings:
Infographic showing various Remote Machine Learning Visa Sponsorship job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,548 per year, or $58 per hour.

AI Trainer - Microbiology Expert

micro1 AI

West Palm Beach, FL • Remote

$70 - $90/hr

Part-time

Posted 13 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.