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Remote Machine Learning Jobs in Hollywood, FL (NOW HIRING)

Remote Supervision Coordinator

Miami, FL ยท On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery ...

Data Scientist

Miami, FL ยท On-site +1

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Support annotation of datasets and development of machine learning models, including training and ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

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.

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.

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.

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.

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.

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.

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.

Showing results 21-40

Remote Machine Learning information

See Hollywood, FL salary details

$23.4K

$39.1K

$80.7K

How much do remote machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote machine learning in Hollywood, FL is $39,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
What job categories do people searching Remote Machine Learning jobs in Hollywood, FL look for? The top searched job categories for Remote Machine Learning jobs in Hollywood, FL are:
What cities near Hollywood, FL are hiring for Remote Machine Learning jobs? Cities near Hollywood, FL with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Hollywood, FL as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,059 per year, or $18.8 per hour.

Remote Supervision Coordinator

Serve Robotics

Miami, FL โ€ข On-site, Remote

$55K - $64K/yr

Full-time

Re-posted 8 days ago


Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
JOB OVERVIEW
The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery robot operations in real time, ensuring safe, efficient, and reliable service execution. This role responds to operational incidents, supports customer and merchant interactions, and assists with testing and validation activities to improve robot performance and operational quality.
JOB DUTIES
  • Monitor, supervise, and guide autonomous robot activities in real time to ensure safe and efficient operations while following standard operating procedures
  • Communicate directly with restaurants, merchants, and customers to resolve operational issues
  • Make real-time decisions within defined guidelines to maintain safety, efficiency, and service quality
  • Document, track, and report incidents accurately and in a timely manner, maintaining strong attention to detail
  • Provide support to internal teams and external partners as needed
  • Meet established performance targets, including productive hours, safety, performance, and operational efficiency metrics
  • Test product functions and features to identify bugs, potential system misuse, and operational gaps, and provide feedback for continuous improvement
  • Support special trials and pilot programs to test features ahead of broader Remote Supervisor release
  • Coordinate with internal operations, engineering, and support teams to escalate issues, communicate operational impacts, and support resolution efforts.
  • Apply training and feedback to continuously improve performance and adapt to new tools and processes

EXPERIENCE, QUALIFICATIONS, & SKILLS
Required Experience, Qualifications, and Skills
  • 2+ years of experience in operations, customer support, logistics, or a similar fast-paced environment
  • Experience using computers and web-based tools in a professional or structured setting
  • Strong attention to detail with the ability to monitor and manage multiple robots and tasks simultaneously
  • Clear written and verbal communication skills
  • Ability to follow standard operating procedures and make decisions within defined guidelines
  • Comfortable working in a fast-paced, real-time operational environment
  • Demonstrated reliability, punctuality, and ability to work scheduled shifts

Preferred Experience, Qualifications, and Skills
  • Experience in remote operations, dispatch, gaming, or real-time monitoring environments
  • Familiarity with incident reporting or ticketing systems
  • Interest in robotics, autonomous systems, or emerging technology

Additional Information
  • Work onsite with movement between depots, deployment zones, and customer locations as needed
  • Stand and walk for extended periods and lift up to 50 lbs as part of daily operations
  • Work occasional evenings and weekends to support operations, deployments, and testing
  • Follow all safety protocols, including PPE requirements, cell phone policies, and dress code (e.g., high-visibility vest and appropriate footwear)