ZipRecruiter

Log In

2

Machine Learning Teaching Remote Jobs in Missouri

Jobgether

Requirements The ideal candidate has a strong academic and practical background in machine learning ... Fully remote, global-first work environment * Opportunity to work on frontier AI research problems ...

Jobgether

Join an innovative AI-focused environment where human expertise plays a key role in improving the accuracy and reliability of next-generation machine learning systems. In this freelance remote ...

New

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121.50K/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 ...

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Varsity Tutors

Python Tutor

Kansas City, MO · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Varsity Tutors

Python Tutor

Columbia, MO · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Varsity Tutors

Python Tutor

Saint Louis, MO · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain ...

Varsity Tutors

Business Analytics Tutor

Kansas City, MO · Remote

$40/hr

... machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management positions. * Conceptual Teaching & Problem-Solving: Skilled ...

Varsity Tutors

Linear Algebra Tutor

Kansas City, MO · Remote

$40/hr

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Linear Algebra Tutor

Columbia, MO · Remote

$40/hr

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Business Analytics Tutor

Columbia, MO · Remote

$40/hr

... machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management positions. * Conceptual Teaching & Problem-Solving: Skilled ...

Varsity Tutors

Business Analytics Tutor

Saint Louis, MO · Remote

$40/hr

... machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management positions. * Conceptual Teaching & Problem-Solving: Skilled ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Teaching Remote JobsMachine Learning Teaching Remote Jobs in Missouri

Machine Learning Teaching Remote information

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

To thrive as a remote Machine Learning Teacher, you need a strong grasp of machine learning concepts, algorithms, and programming (often with a background in computer science or a related field). Familiarity with tools such as Python, Jupyter Notebooks, TensorFlow, and relevant online teaching platforms or Learning Management Systems is essential. Excellent communication, patience, and the ability to explain complex concepts clearly are vital soft skills for engaging remote learners. These skills ensure that students receive high-quality instruction and support, making advanced topics accessible and fostering effective learning in a virtual environment.

What are the main challenges of teaching machine learning remotely, and how can they be addressed?

One of the main challenges of teaching machine learning remotely is ensuring student engagement and comprehension, especially with complex concepts and hands-on programming tasks. In a remote setting, it's important to leverage interactive tools, frequent check-ins, and collaborative platforms to maintain student participation and provide timely feedback. Additionally, clear communication and well-structured materials help bridge the gap that physical presence often fills. Successful remote instructors often schedule virtual office hours and foster online discussion forums to support students effectively.

What is a Machine Learning Teaching Remote job?

A Machine Learning Teaching Remote job involves instructing students or professionals on machine learning concepts and techniques through online platforms. Educators in this role design and deliver course materials, lead virtual lectures or workshops, and provide feedback on assignments. The position typically allows for flexible work from home and may include mentoring, curriculum development, and staying updated with the latest trends in machine learning. It is ideal for those with expertise in machine learning and a passion for teaching, who are comfortable using digital communication tools.
What are the most commonly searched types of Machine Learning Teaching jobs in Missouri? The most popular types of Machine Learning Teaching jobs in Missouri are:
What are popular job titles related to Machine Learning Teaching Remote jobs in Missouri? For Machine Learning Teaching Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Remote jobs in Missouri look for? The top searched job categories for Machine Learning Teaching Remote jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Teaching Remote jobs? Cities in Missouri with the most Machine Learning Teaching Remote job openings:
Machine Learning Teaching Remote jobs near you

AI Research Engineer (Multi-Modal Reinforcement Learning)

Jobgether

Remote

Full-time

Posted 9 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Research Engineer (Multi-Modal Reinforcement Learning) in Netherlands.

This role sits at the intersection of cutting-edge AI research and large-scale system engineering, focusing on advancing multi-modal reinforcement learning across text, image, audio, and complex simulated environments. You will contribute to the design of next-generation intelligent systems capable of adaptive decision-making in real-world scenarios. Working in a highly research-driven, globally distributed environment, you will help build and scale reinforcement learning frameworks that power advanced multimodal models. Your work will directly influence model performance, training stability, and reward optimization strategies at scale. You will collaborate with top-tier researchers and engineers to push the boundaries of AI capabilities. The role combines deep theoretical research with hands-on system development and experimentation. It is ideal for someone passionate about foundational AI breakthroughs and real-world deployment impact.

Accountabilities

In this role, you will lead research and engineering efforts across multi-modal reinforcement learning systems while contributing to scalable AI infrastructure and experimentation frameworks. You will be responsible for advancing model performance and robustness through innovative algorithm design and rigorous evaluation practices.

  • Conduct research on reinforcement learning methods for multi-modal systems, including diffusion-based and autoregressive model approaches.
  • Design and build scalable RL infrastructure supporting distributed training and evaluation across complex multi-modal environments.
  • Develop reward modeling strategies to improve alignment, training stability, and mitigate failure modes such as reward hacking.
  • Create and curate simulation environments and datasets for training, benchmarking, and validating multi-modal RL models.
  • Design and execute evaluation protocols to measure performance improvements and ensure reproducibility across experiments.
  • Analyze model behavior across modalities, identifying bottlenecks in optimization, exploration, and cross-modal alignment.
  • Explore and develop next-generation RL paradigms to enhance learning from environment feedback and improve SOTA performance.
  • Publish research in leading AI conferences such as NeurIPS, ICML, ICLR, CVPR, and related venues.
Requirements

The ideal candidate has a strong academic and practical background in machine learning, reinforcement learning, and multi-modal AI systems, with a proven record of research excellence and scalable system development. You are comfortable working at the frontier of AI research while building production-grade experimentation pipelines.

  • Master's degree in Computer Science or related field required; PhD preferred in ML, CV, NLP, or AI-related disciplines.
  • Strong publication record in top-tier AI conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
  • Proven experience in large-scale reinforcement learning experiments, particularly in multi-modal or vision-centric systems.
  • Deep understanding of reinforcement learning theory, optimization, and policy learning in high-dimensional environments.
  • Strong hands-on experience with PyTorch and deep learning frameworks for multimodal AI systems.
  • Experience building end-to-end RL pipelines including simulation, training, evaluation, and deployment.
  • Ability to address core RL challenges such as sample efficiency, exploration-exploitation trade-offs, and training stability.
  • Strong analytical and problem-solving skills with a research-driven, experimental mindset.
Benefits
  • Competitive compensation package aligned with top-tier AI research talent
  • Fully remote, global-first work environment
  • Opportunity to work on frontier AI research problems at scale
  • High-impact role influencing next-generation multimodal intelligence systems
  • Collaboration with leading researchers and engineers in AI and reinforcement learning
  • Access to large-scale experimentation infrastructure and research resources
  • Strong culture of innovation, autonomy, and research publication support
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.
 
 
#LI-CL1
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.
apply for this job

Apply