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Remote Video Game Director Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

Fully remote working environment within Europe. * Full-time employment. * Opportunity to build and work on production-scale video foundation models at the forefront of Generative AI. * Direct ...

True North Recruiters

Let's Get to Work

Kansas City, MO · Remote

$94K - $122K/yr

Remote (Work From Anywhere) Compensation: 100% Commission -- Uncapped Income Potential Experience ... Join us, and we'll help you level up your game, unlock your earning potential, and build the life ...

True North Recruiters

Let's Get to Work

Saint Louis, MO · Remote

$96K - $124K/yr

Remote (Work From Anywhere) Compensation: 100% Commission -- Uncapped Income Potential Experience ... Join us, and we'll help you level up your game, unlock your earning potential, and build the life ...

Kohl's

$53.75 - $70.25/hr

... direct internet access. * Troubleshoot remote-user connectivity, application performance, authentication, voice and video quality, routing, and security-policy issues across GlobalProtect and Prisma ...

MDstaffers

Telehealth Psychiatrist (Missouri)

MO · Remote

Details: • 100% Remote Position - work from home or your private practice! • Telephone or video ... direct deposits • Comprehensive malpractice insurance • Professional healthcare staffing ...

Jobgether

Use AI-enabled tools for creative exploration, image and video production, rapid prototyping ... Experience in B2B technology, gaming, esports, betting, entertainment, or another visually ...

New

Rankings.io

$100/hr

Write the direct-response copy yourself, tailored across practice areas: sequences, subject lines ... Fully Remote * Unlimited PTO * $100 Wellness Reimbursement Program * Quarterly training stipend for ...

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All JobsVideo Game JobsRemote Video Game Director JobsRemote Video Game Director Jobs in Missouri

Remote Video Game Director information

What does a remote video game director do?

A Remote Video Game Director oversees the creative vision, design, and development process of a video game while working from a remote location. They lead multidisciplinary teams, make key decisions about gameplay, story, and art direction, and ensure the project stays on track and aligns with the intended vision. Communication and leadership are critical, as they must coordinate with designers, artists, programmers, and producers virtually. Their role is central to delivering a cohesive and engaging final product.

What are the key skills and qualifications needed to thrive as a remote video game director?

To thrive as a Remote Video Game Director, you need extensive experience in game design, project management, and a strong portfolio demonstrating successful game launches, often supported by a degree in game development or a related field. Familiarity with industry-standard tools such as Unity or Unreal Engine, project management software (e.g., Jira, Trello), and communication platforms (e.g., Slack, Zoom) is essential. Leadership, creativity, clear communication, and the ability to motivate and coordinate remote teams are standout soft skills. These abilities are critical for delivering high-quality games on time while fostering innovation and effective collaboration across distributed teams.

How does a remote video game director effectively manage and collaborate with distributed development teams?

As a Remote Video Game Director, effective team management relies on clear communication and structured workflows. Directors typically use project management tools, regular video meetings, and shared documentation to align vision and goals across time zones. Frequent check-ins and feedback sessions help maintain creative direction and address challenges early. Building trust and fostering open communication are essential for keeping remote teams motivated and coordinated throughout the development cycle.

What is the difference between Remote Video Game Director vs Remote Game Producer?

AspectRemote Video Game DirectorRemote Game Producer
ResponsibilitiesOversees creative vision, game design, and overall project directionManages project timelines, budgets, and coordination between teams
Required SkillsCreative leadership, game development knowledge, storytellingProject management, communication, resource allocation
Work EnvironmentCollaborates with designers, artists, and developers remotelyCoordinates with teams, stakeholders, and external partners remotely
Industry UsageCommonly used in game studios for creative oversightUsed across studios for project execution and delivery

The main difference is that the Remote Video Game Director focuses on the creative and artistic vision of the game, while the Remote Game Producer handles project management, timelines, and resource coordination. Both roles often work closely but serve distinct functions in game development.

What are the most commonly searched types of Remote Video Game jobs in Missouri?

The most popular types of Remote Video Game jobs in Missouri are:

What are popular job titles related to Remote Video Game Director jobs in Missouri?

For Remote Video Game Director jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Video Game Director jobs in Missouri look for?

The top searched job categories for Remote Video Game Director jobs in Missouri are:

What cities in Missouri are hiring for Remote Video Game Director jobs?

Cities in Missouri with the most Remote Video Game Director job openings:

Remote Video Game Director jobs near you
Infographic showing various Remote Video Game Director job openings in Missouri as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution.

Senior Applied Research Engineer - Video

Jobgether

Remote

$80K - $110K/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 a Senior Applied Research Engineer - Video based in Netherlands.

As a Senior Applied Research Engineer, you will help build the next generation of production-grade foundation models for human-centric video generation.
You will work at the intersection of generative AI research, large-scale distributed systems, and production engineering.
Your work will focus on developing realistic, controllable, and expressive video generation models that can operate reliably at scale.
You will own research and engineering projects end to end, translating hypotheses and experiments into measurable product impact.
The role combines advanced modeling, distributed training, evaluation, inference optimization, and rigorous experimentation.
You will operate in a highly technical, high-ownership environment where research is expected to move quickly toward real-world deployment.
Your contributions will directly influence AI-powered video products used by businesses around the world.

Accountabilities
  • Develop and scale latent video diffusion models designed for human-centric video generation.
  • Design advanced conditioning mechanisms that improve control over elements such as pose, emotion, scripts, and camera movement while maintaining high visual fidelity.
  • Lead end-to-end applied research and engineering projects, from developing hypotheses and running experiments through to production implementation and measurable impact.
  • Develop and optimize distributed training strategies using technologies such as DDP, FSDP, DeepSpeed, and sequence parallelism.
  • Improve training stability and efficiency across large-scale, multi-GPU and multi-node environments while working within real-world compute constraints.
  • Design robust evaluation frameworks combining automated metrics with structured human evaluation to assess model quality and performance.
  • Optimize model inference for low latency, high resolution, scalability, and cost efficiency in production environments.
  • Run controlled experiments, ablations, and parallel research hypotheses to identify high-value signals and guide modeling decisions.
  • Establish and maintain strong engineering practices around reproducibility, experiment tracking, CI/CD, monitoring, and production reliability.
  • Translate research findings into practical improvements for production-grade generative video systems.
  • Collaborate actively with researchers, engineers, and cross-functional teams while maintaining a high degree of individual ownership.
  • Move quickly between promising research directions, identifying low-signal approaches early and prioritizing work based on measurable outcomes.
Requirements
  • Strong professional experience training deep learning models at scale, ideally in a research or production environment.
  • Strong programming skills in Python and hands-on expertise with PyTorch.
  • Practical experience working with diffusion models, with image-generation experience required and video-generation experience strongly preferred.
  • Proven experience with large-scale multi-GPU and multi-node model training.
  • Strong understanding of distributed training frameworks and techniques such as DDP, FSDP, DeepSpeed, or comparable technologies.
  • Ability to design controlled experiments, analyze noisy or ambiguous results, and make scientifically grounded modeling decisions.
  • Experience with video diffusion models is an advantage.
  • Experience with avatar generation, synthetic humans, or other human-centric generative AI applications is a plus.
  • Familiarity with world models, interactive models, GANs, or VAEs is desirable.
  • Experience optimizing inference systems for production deployment is an advantage.
  • Strong understanding of CUDA and experience working within modern machine learning infrastructure.
  • Ability to work effectively with technologies such as AWS, SLURM, Docker, CI/CD pipelines, and distributed training and inference systems.
  • Research-driven mindset combined with a strong focus on practical outcomes and shipping production solutions.
  • Ability to explore multiple approaches quickly, identify promising directions, and discontinue low-value experiments when appropriate.
  • Strong scientific communication skills, with the ability to clearly present experimental results and technical conclusions.
  • High degree of autonomy, ownership, adaptability, and initiative, combined with a collaborative approach to working across teams.
Benefits
  • Fully remote working environment within Europe.
  • Full-time employment.
  • Opportunity to build and work on production-scale video foundation models at the forefront of Generative AI.
  • Direct opportunity to influence next-generation human-centric video generation technology.
  • Work on challenging technical problems involving scalability, model stability, controllability, evaluation, and inference optimization.
  • High-ownership environment where research and engineering contributions are designed to reach real-world products.
  • Opportunity to collaborate with highly technical AI researchers and engineers.
  • Exposure to large-scale machine learning infrastructure, distributed computing, and production AI systems.
  • Opportunity to work on technology serving tens of thousands of businesses worldwide.
  • Fast-paced environment that encourages autonomy, experimentation, scientific thinking, and measurable impact.
  • Opportunity to contribute to AI technology with a strong focus on safety, ethics, security, and people-first development.
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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