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Remote Spacex Machine Learning Jobs in Missouri (NOW HIRING)

Jobgether

Interest in artificial intelligence, machine learning, or computer vision and their applications to visual and creative fields is highly valued. * Previous remote work experience and the ability to ...

Jobgether

Deploy and support machine learning workloads while assisting with lifecycle management across ... Flexible remote working environment with a high level of ownership. * Collaborative, innovative ...

Third-Party Job Posts

Remote (Europe) How You'll Make an Impact: As a Staff Software Engineer in Revenue Intelligence ... processing, machine-learning workflows, and production infrastructure. We value pragmatic ...

Jobgether

This role focuses on building the data and machine learning foundations that power personalized ... Benefits * 100% remote work with flexible working hours and designated core collaboration hours.

New

Jobgether

$5.0K - $6.5K/mo

This fully remote opportunity is designed for an experienced Python engineer passionate about ... Experience with data products, Big Data environments, BI, analytics, or machine learning teams is ...

Kohl's

Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application Preferred * Degree in Mathematics or Statistics, Economics, Computer Science, Predictive ...

micro1 AI

AI Trainer - Microbiology Expert

Columbia, MO · Remote

$70 - $90/hr

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.

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

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Remote Spacex Machine Learning information

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 Missouri?

The most popular types of Spacex Machine Learning jobs in Missouri are:

What are popular job titles related to Remote Spacex Machine Learning jobs in Missouri?

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

What job categories do people searching Remote Spacex Machine Learning jobs in Missouri look for?

The top searched job categories for Remote Spacex Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Remote Spacex Machine Learning jobs?

Cities in Missouri with the most Remote Spacex Machine Learning job openings:

Remote Spacex Machine Learning jobs near you
Infographic showing various Remote Spacex Machine Learning job openings in Missouri as of June 2026, with employment types broken down into 4% As Needed, 65% Full Time, 23% Part Time, 4% Contract, and 4% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Kansas City, MO • Remote

$70 - $90/hr

Part-time

Posted 18 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.

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