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Remote Deep Learning Jobs in Missouri (NOW HIRING)

Jobgether

Operating in a fully remote setup aligned with US business hours, you will handle a high volume of ... Success in this role comes from balancing speed, precision, and deep customer understanding in a ...

Jobgether

$18.25 - $24.75/hr

The position combines deep subject-matter expertise with strategic thinking, allowing you to ... This is an ideal opportunity for a detail-oriented professional who thrives in remote ...

Jobgether

$88.70K - $116.50K/yr

... remote-first culture. Ideal candidates are hands-on engineers who enjoy solving complex technical ... Deep understanding of JavaScript, TypeScript, HTML5, CSS3, and responsive web development ...

Jobgether

You will work in a collaborative, remote-first environment alongside engineers, analysts, and data ... The position combines deep technical ownership with strategic influence, giving you the opportunity ...

Jobgether

... learning, and engineering excellence. This position is ideal for a hands-on leader who enjoys ... Deep understanding of Identity & Access Management concepts such as OAuth2/OIDC, RBAC/ABAC, session ...

Jobgether

Operating in a fast-paced, remote-first and highly collaborative environment, you will take ... Translate complex AI and machine learning capabilities into clear product requirements, user ...

Jobgether

The position combines deep technical problem-solving with collaborative product development ... The environment is fully remote, highly collaborative, and designed for engineers who thrive on ...

Jobgether

$40.75 - $55.75/hr

In this role, you will support a global online learning community by guiding students through ... Lead technical deep-dive sessions covering cloud computing, DevOps methodologies, AWS services, and ...

UMB Financial Corporation

AI Data Architect

Kansas City, MO · On-site +1

$83.20K - $178.80K/yr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

Jobgether

You will work in a highly international and remote-first environment focused on innovation ... Deep understanding of Facebook Ads best practices, including campaign structure, bidding strategies ...

UMB Financial

AI Data Architect

Kansas City, MO · On-site +1

$62.25 - $80/hr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... However, the remote location must be within the US. How you will spend your time: * Define and ...

Jobgether

This is a remote-first environment where collaboration, autonomy, and strong engineering judgment ... This role requires deep backend engineering expertise and proven experience operating at a senior ...

Jobgether

This position is ideal for a hands-on technology leader who combines deep technical expertise with ... Flexible remote or hybrid working arrangements. * Opportunity to lead innovative AI-first ...

Jobgether

Benefits: * Remote-first and globally distributed working environment. * Opportunity to work on ... Continuous learning and professional growth in a fast-evolving deep-tech ecosystem. * Competitive ...

Jobgether

... learning. Accountabilities: * Deliver high-quality pre-sales technical support and sales ... Deep understanding of enterprise sales cycles, technical discovery processes, and pre-sales best ...

Jobgether

The role combines deep technical expertise with consulting, architecture, and communication skills ... Flexible work arrangements with remote, hybrid, or onsite options across Europe * Comprehensive ...

Jobgether

$80.20K - $110K/yr

... remote engineering environment. You will contribute to critical network innovations, improve ... Deep understanding of MAP (SS7) and Diameter protocols, including S6a/S13 interfaces. * Experience ...

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Remote Deep Learning information

See Missouri salary details

$23

$53

$80

How much do remote deep learning jobs pay per hour?

As of May 30, 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 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 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.

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 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.

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 May 2026, with employment types broken down into 69% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $110,433 per year, or $53.1 per hour.

Inside Sales Representative (Senior Creative Specialist)

Jobgether

Remote

Full-time

Posted 10 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Inside Sales Representative (Senior Creative Specialist) in Netherlands.

This role sits at the intersection of consultative sales, creative advisory, and high-velocity inbound pipeline management within a fast-growing global manufacturing SaaS environment. You will be the first meaningful human touchpoint for creators and brands looking to bring custom products to life, guiding them from idea to execution with clarity and urgency. Operating in a fully remote setup aligned with US business hours, you will handle a high volume of inbound leads while delivering a highly personalized, solution-oriented experience. The role requires strong commercial instinct, creativity, and the ability to translate client ideas into viable production outcomes. You will not only close initial deals but also build long-term customer relationships that drive repeat business and account growth. Success in this role comes from balancing speed, precision, and deep customer understanding in a fast-paced, performance-driven environment.

Accountabilities

In this role, you will manage the full inbound sales cycle while acting as a trusted advisor to clients navigating custom product creation. You will be responsible for converting high-volume inbound leads into closed deals, maintaining pipeline discipline, and building long-term customer relationships that drive repeat revenue.

  • Own the end-to-end inbound sales process from first contact to deal closure, ensuring fast and effective conversion.
  • Consult with creators and brand clients to understand product needs, pricing expectations, and design requirements.
  • Handle objections confidently while positioning tailored manufacturing solutions that meet client goals.
  • Build, manage, and nurture a repeat customer pipeline to maximize long-term account value.
  • Maintain accurate CRM records and manage high-velocity pipelines using structured workflows and disciplined follow-ups.
  • Collaborate with production, design, and lead generation teams to ensure seamless order execution and client satisfaction.
  • Provide post-sale engagement and account nurturing to encourage repeat purchases and long-term partnerships.
Requirements

The ideal candidate brings strong consultative sales experience, excellent communication skills, and the ability to thrive in a high-volume, remote, performance-driven environment. You are both commercially sharp and creatively minded, with a strong sense of ownership over your pipeline and outcomes.

  • 2-5 years of quota-carrying experience in inside sales, account executive, or consultative sales roles.
  • Proven success managing high-volume inbound leads in a fast-paced SaaS, SMB, or services environment.
  • Exceptional English communication skills with strong video presentation and client-facing confidence.
  • Strong CRM discipline with experience managing structured pipelines and rapid sales cycles (Pipedrive a plus).
  • Ability to understand creative and manufacturing concepts, translating client ideas into actionable solutions.
  • High adaptability, resilience, and comfort working in a remote, fast-moving environment aligned with US business hours.
  • Strong organizational skills with the ability to prioritize multiple deals simultaneously.
Benefits
  • Competitive base salary with uncapped commission structure
  • High earning potential with top performers reaching strong monthly OTE levels
  • Fully remote work environment with global team collaboration
  • Performance-driven culture with clear growth opportunities
  • Exposure to creative, manufacturing, and product development industries
  • Continuous learning through direct client interaction and cross-functional collaboration
  • Flexible contractor-based employment structure
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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