2

Remote Spacex Machine Learning Jobs in Orlando, FL

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... This is a remote position and Advocate is currently a fully remote team. Advocate is an equal ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Coordinate with subconsultants and remote team members to compose proposal text with a consistent ... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ...

Showing results 21-27

Remote Spacex Machine Learning information

See Orlando, FL salary details

$23.8K

$39.8K

$82.1K

How much do remote spacex machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote spacex machine learning in Orlando, FL is $39,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What does a remote SpaceX machine learning engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are some unique challenges of working remotely as a machine learning engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

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

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

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

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.

What are the most commonly searched types of Spacex Machine Learning jobs in Orlando, FL?

The most popular types of Spacex Machine Learning jobs in Orlando, FL are:

What are popular job titles related to Remote Spacex Machine Learning jobs in Orlando, FL?

For Remote Spacex Machine Learning jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Remote Spacex Machine Learning jobs in Orlando, FL look for?

The top searched job categories for Remote Spacex Machine Learning jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Remote Spacex Machine Learning jobs?

Cities near Orlando, FL with the most Remote Spacex Machine Learning job openings:

Infographic showing various Remote Spacex Machine Learning job openings in Orlando, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $39,752 per year, or $19.1 per hour.

Client Engagement Associate

Advocate

Orlando, FL • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Overview
At Advocate, our mission is to empower Americans to obtain the government support they've earned. Advocate aims to reduce long wait times and bureaucratic obstacles of the current government benefits application process by developing a unified intake system for the Social Security Administration, utilizing cutting-edge technologies such as artificial intelligence and machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case managers.
We are seeking a dynamic and persistent Outreach & Intake Specialist to be the crucial first point of contact for potential claimants. In this role, you will engage new leads, guide them through the initial information gathering and contract signing process via our Onboarding Flow, and effectively convert interested individuals into Advocate claimants. You'll focus on initiating the claimant journey, ensuring potential claimants feel supported and informed from the very beginning. If you are results-oriented, possess excellent communication skills, and are passionate about helping people navigate complex processes, this role offers the opportunity to make a significant impact without managing ongoing case submissions.
Job Responsibilities
  • Act as the first point of contact for potential claimants, managing inbound leads via phone, text, email and potentially other channels.
  • Conduct prompt and persistent outreach to new leads (within 5 minutes) using tools like Salesforce and ZenDesk, following established contact sequences (calls, texts, voicemails).
  • Clearly articulate Advocate's value proposition and answer frequently asked questions to build trust and encourage engagement.
  • Guide potential claimants through Advocate's online Onboarding Flow, assisting them in providing necessary initial information and signing the representation contract.
  • Communicate with LTD customers for assistance reaching potential CLs and status updates
  • Maintain accurate and timely records of all outreach activities, claimant interactions, and lead statuses within Salesforce.
  • Identify and appropriately handle leads who may not be eligible for services based on initial criteria.
  • Collaborate with the team to meet and exceed lead conversion goals.
  • Monitor Advocate's Intake communication lines for new client calls and texts, responding appropriately.

Qualifications
  • Proven experience in a high-volume outreach, sales, or customer engagement role (e.g., call center, intake specialist, sales development).
  • Excellent verbal and written communication skills, with an ability to explain processes clearly and empathetically.
  • Strong interpersonal and persuasion skills with a persistent approach to achieving goals.
  • Experience using CRM software (Salesforce preferred) and communication tools (ZenDesk).
  • Highly organized with strong attention to detail for tracking lead progress and documenting interactions.
  • Ability to work independently and manage time effectively in a remote setting.
  • Passionate about helping others and contributing to a mission-driven company.
  • Familiarity with the Social Security disability process is a plus, but not required.

This is a remote position and Advocate is currently a fully remote team. Advocate is an equal opportunity employer and values diversity in the workplace. We are assembling a well-rounded team of people passionate about helping others and building a great company for the long term.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.