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Remote Ai Computer Science Jobs in Missouri (NOW HIRING)

$158K/yr

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ... Fully remote work environment with global collaboration opportunities. * Exposure to large-scale AI ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Formal education in engineering, computer science, data science, or related field * Professional training in AI/ML * Hands-on experience building AI or data-intensive systems * Proven experience ...

Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your ... in Computer Science or related field (or equivalent experience). #LI-KS1 #LI-Remote The ...

$88K - $106K/yr

You will collaborate closely with AI scientists and engineering teams to improve data quality ... A background in Computer Science or a related technical field is expected, along with a proven ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or ...

New

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... synthesizing scientific knowledge * Experience with or interest in AI, machine learning, or ...

... AI capabilities. Qualifications Required: * Bachelor's degree in preferably Computer Science ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... AI capabilities. Qualifications Required: * Bachelor's degree in preferably Computer Science ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Lead Developer

Kansas City, MO · Remote

$125K - $155K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Preferred ... equipment. #LI-Remote #LI-RC1 The Compensation range for this role is $125,000 - $155,000 USD ...

Remote How You'll Make an Impact: Cloudbeds is looking for a passionate and experienced Engineering ... AI platform, connecting hospitality data, pricing science, and hotel operations into a coherent ...

$65/hr

Largescale language models are evolving from clever chatbots into powerful engines of scientific ... Remote Seniority level: MidSenior Level

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Remote Ai Computer Science information

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a Remote AI Computer Scientist, and why are they important?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
What are the most commonly searched types of Ai Computer Science jobs in Missouri? The most popular types of Ai Computer Science jobs in Missouri are:
What cities in Missouri are hiring for Remote Ai Computer Science jobs? Cities in Missouri with the most Remote Ai Computer Science job openings:

AI Research Engineer (Multi-Modal & Vision)

Jobgether

On-site, Remote

$158K/yr

Full-time

Posted 4 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Research Engineer (Multi-Modal & Vision) based in Netherlands.

This is an exciting opportunity for a research-focused AI engineer to contribute to the development of advanced multimodal systems that combine vision and language capabilities. The role covers the full AI model lifecycle, from dataset creation and training pipeline development to model evaluation, optimization, and deployment. Working within a highly skilled and collaborative team, you will help build scalable AI solutions designed for real-world production environments. The position offers significant ownership, direct impact on cutting-edge research initiatives, and the opportunity to apply state-of-the-art techniques to solve complex challenges. Ideal candidates are passionate about advancing multimodal AI while maintaining a strong engineering mindset focused on measurable outcomes and practical deployment.

Accountabilities
  • Conduct end-to-end research and development of vision-language models, including training, evaluation, optimization, and deployment activities.
  • Design and implement advanced post-training methodologies such as supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
  • Build, curate, filter, and maintain high-quality multimodal datasets tailored to domain-specific applications.
  • Improve model efficiency and scalability through optimization, compression, and adaptation techniques suitable for resource-constrained environments.
  • Develop benchmarking systems and evaluation frameworks to assess model quality, robustness, and real-world performance.
  • Build and maintain distributed training workflows across GPU infrastructure while identifying and resolving performance bottlenecks.
  • Contribute to open-source AI ecosystems by leveraging and enhancing models, datasets, and development tools.
  • Monitor emerging research in multimodal learning and vision-language systems, translating relevant advancements into practical improvements.
  • Collaborate on research publications and contribute to scientific advancements through conference or journal submissions when appropriate.
Requirements
  • Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field; Master's or PhD preferred.
  • Strong hands-on experience working with multimodal AI systems, particularly vision-language models.
  • Proven expertise in supervised fine-tuning, knowledge distillation, reinforcement learning from feedback, and other post-training optimization techniques.
  • Experience with parameter-efficient fine-tuning approaches and distributed training frameworks.
  • Demonstrated success improving model performance on industry-standard benchmarks or production use cases.
  • Strong understanding of model optimization techniques for deployment in resource-constrained environments.
  • Experience building scalable machine learning pipelines and training workflows on GPU infrastructure.
  • Proven contributions to open-source multimodal AI projects through platforms such as GitHub or Hugging Face.
  • Research background supported by publications in leading AI conferences or journals is highly desirable.
  • Strong analytical thinking, problem-solving skills, and the ability to balance research innovation with production-oriented engineering practices.
  • Excellent communication skills and the ability to collaborate effectively within distributed, cross-functional teams.
Benefits
  • Competitive salary package aligned with experience and expertise.
  • Opportunity to work on cutting-edge multimodal AI and vision-language research projects.
  • Fully remote work environment with global collaboration opportunities.
  • Exposure to large-scale AI infrastructure and advanced machine learning technologies.
  • High degree of autonomy, ownership, and impact on product and research outcomes.
  • Collaboration with experienced researchers, engineers, and AI specialists.
  • Professional growth opportunities through research, innovation, and publication support.
  • Flexible working arrangements that support work-life balance.
  • Dynamic, fast-paced environment focused on innovation and continuous learning.
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 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.
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