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Remote Deep Learning Jobs in Missouri (NOW HIRING)

Jobgether

Design, develop, and optimize advanced machine learning and deep learning models capable of ... Fully remote position with collaboration across the European CET time zone. * Immediate opportunity ...

Jobgether

$80K - $110K/yr

Strong proficiency in Python and modern deep learning frameworks such as PyTorch. * Hands-on ... Fully remote position for professionals residing in Europe. * Flexible working hours with a strong ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink ...

Jobgether

$79K - $104K/yr

Deep knowledge of machine learning platforms and frameworks such as MLflow, Weights & Biases (W&B ... Fully remote work environment with international collaboration opportunities. * Opportunity to lead ...

Jobgether

$97K - $128K/yr

The position involves deep collaboration with engineering, data, and product leaders to ensure data ... Home office setup support and remote work allowances. * Continuous learning and professional ...

Jobgether

$14.50 - $19.25/hr

This is a great opportunity to join a remote-first team supporting a leading SaaS platform used ... Beyond handling support requests, you'll build deep product expertise, collaborate with Product and ...

Jobgether

$50.25 - $63.75/hr

... and machine learning solutions at scale. You will work closely with enterprise customers to ... Operating in a global, remote-first environment, you will collaborate with cross-functional teams ...

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Missouri

Remote Deep Learning information

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$23

$53

$80

How much do remote deep learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote deep learning in Missouri is $53.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $65.72 per hour, depending on experience, location, and employer.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

How can I make $100,000 a year working from home?

A remote deep learning professional can reach a $100,000 annual income by gaining advanced skills in machine learning frameworks, building a strong portfolio, and working for companies that offer competitive salaries or freelance projects. Earning this level often requires experience, specialized knowledge, and the ability to deliver high-quality models efficiently. Certifications in deep learning and proficiency with tools like Python, TensorFlow, or PyTorch can also enhance earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

Which 3 jobs will survive AI?

In the field of remote deep learning, roles such as data scientists, machine learning engineers, and AI research scientists are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation by AI systems. Continuous learning and staying updated with new tools and techniques are essential for long-term career stability in this area.

How to make $1000 a week remotely?

Remote deep learning professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building a strong portfolio, acquiring relevant skills in Python and machine learning frameworks, and obtaining certifications can help increase earning potential. Consistent work and specialized expertise are key to reaching this income level remotely.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are popular job titles related to Remote Deep Learning jobs in Missouri? For Remote Deep Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning jobs in Missouri look for? The top searched job categories for Remote Deep Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Deep Learning jobs? Cities in Missouri with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Missouri as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $110,433 per year, or $53.1 per hour.
Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

Postdoctoral Research Associate in Geospatial AI (GeoAI) and Forest Health

Lincoln University

Jefferson City, MO • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

PURPOSE:

The Postdoctoral Research Associate will engage in research and development of a GeoAI-powered early warning system for forest health by integrating multi-source geospatial data, including satellite imagery, UAV-based LiDAR and multispectral data, and environmental datasets.

This position supports a USDA-NIFA funded project focused on detecting early indicators of forest stress, pest infestation, and environmental disturbances using advanced artificial intelligence and geospatial analytics. The role contributes to research, education, and extension activities in Missouri and supports the broader mission of advancing innovation in geospatial science and environmental monitoring.

ESSENTIAL JOB FUNCTIONS, DUTIES, & RESPONSIBILITIES:

  • Plan and implement research activities focused on early detection of forest stress, disturbance, and ecological change using geospatial analytics and artificial intelligence. 
  • Compile, collect, clean, and process geospatial and ancillary datasets from multiple sources, including satellite imagery, UAV-based LiDAR, multispectral imagery, and environmental data. 
  • Develop, train, and optimize GeoAI models using machine learning and deep learning techniques for spatial analysis and predictive modeling.
  • Validate GeoAI models through field verification and collaboration with the Missouri Ozark Forest Ecosystem Project (MOFEP). 
  • Develop decision-support tools and interfaces that translate complex geospatial outputs into usable information for stakeholders. 
  • Contribute to peer-reviewed publications, conference presentations, and technical documentation required for project deliverables. 
  • Mentor graduate and undergraduate students involved in research activities. 
  • Collaborate with interdisciplinary teams across research, extension, and education initiatives. 
  • Maintain accurate records of research activities, methodologies, and results. 
  • Perform other duties as assigned by the supervisor in support of project goals.

KNOWLEDGE, SKILLS, & ABILITIES:

  • Strong understanding of Geospatial Artificial Intelligence (GeoAI), including integration of machine learning and deep learning methods with geospatial and environmental datasets. 
  • Proficiency in programming languages such as Python or R, including experience with relevant libraries for data analysis, modeling, and visualization. 
  • Knowledge of spatial data processing, geostatistics, and remote sensing techniques. 
  • Familiarity with multi-source data integration and spatial modeling workflows. 
  • Experience working with geospatial software and tools such as GIS platforms, remote sensing tools, and data processing frameworks. 
  • Ability to interpret scientific data and translate findings into actionable insights. 
  • Strong analytical, problem-solving, and critical thinking skills. 
  • Effective written and verbal communication skills for technical and academic audiences. 
  • Ability to work both independently and collaboratively within interdisciplinary research teams. 
  • Strong organizational skills and ability to manage multiple tasks and deadlines.

QUALIFICATIONS:

  • Ph.D. in Geospatial Science, Geography, Remote Sensing, Data Science, Forestry, Environmental Science, or a closely related field.
  • Valid driver's license. 
  • Must have or be able to obtain a Remote Pilot Certificate (FAA Part 107). 
  • Demonstrated experience conducting independent research.
  • Ability to manage research timelines and deliverables within a grant-funded project.

PREFERRED QUALIFICATIONS:

  • Experience working with UAV or LiDAR data for environmental or forestry applications. 
  • Background in applying machine learning methods to geospatial or ecological datasets. 
  • Demonstrated record of peer-reviewed publications or scientific research dissemination.
  • Ability to work independently and manage projects with minimal supervision.
  • Strong organizational and problem-solving skills, particularly when working with large or complex datasets.
  • Experience collaborating across interdisciplinary teams.

PHYSICAL DEMANDS:

  • Work will be conducted in both office and outdoor field environments.
  • Fieldwork may involve walking in forested terrain and working in variable weather conditions.
  • Ability to lift and transport equipment weighing up to 40 pounds.
  • Ability to travel to research sites as needed.

This job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Lincoln University. Since no job description can detail all the duties and responsibilities that may be required from time to time in the performance of a job, duties and responsibilities that may be inherent in a job, reasonably required for its performance, or required due to the changing nature of the job shall also be considered part of the jobholder's responsibility.

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