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Remote Church Video Production Jobs in Missouri (NOW HIRING)

$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 ...

$110K - $165K/yr

Working closely with marketing, production, research, and leadership teams, you'll have substantial ... Fully remote work arrangement available across the Americas and Europe. * Significant ownership ...

Define creative direction across websites, product launches, social media, events, video, sales ... Fully remote working arrangement across the EU region. * Opportunity to shape and evolve the visual ...

Use AI-enabled tools for creative exploration, image and video production, rapid prototyping ... Remote working environment with flexibility to work from Europe. * Freelance contract structure.

Use generative AI tools for video, image, and text production to industrialize creative output ... Potential to transition to a full-time engagement as workload and results grow. * 100% remote work ...

Project Manager FVIA

Louisiana, MO · Remote

$85K - $95K/yr

Manage the development and implementation of Motorola Solutions Fixed Video products and services ... The actual offer will be based on the individual candidate. #LI-JM3 #LI-REMOTE Basic Requirements ...

Remote Insurance Agent

Saint Louis, MO · Remote

$60K - $110K/yr

Reliable high-speed internet and video conferencing setup Preferred * Prior experience in sales ... production bonuses, renewals starting at 1.75% from day one. Key Benefits * Flexible fully remote ...

Remote Insurance Agent

Kansas City, MO · Remote

$60K - $110K/yr

Reliable high-speed internet and video conferencing setup Preferred * Prior experience in sales ... production bonuses, renewals starting at 1.75% from day one. Key Benefits * Flexible fully remote ...

$42 - $55.50/hr

... Video. As part of the Technical Team, you will work directly with the full lifecycle of production-grade software--from early prototypes to stable, shipping features. This primarily remote role ...

$42 - $55.50/hr

... Video. As part of the Technical Team, you will work directly with the full lifecycle of production-grade software--from early prototypes to stable, shipping features. This primarily remote role ...

Your work will combine video editing, static ad design, light copywriting, and an understanding of ... Develop and iterate on product-focused, benefit-led, and social-proof-based static ad concepts.

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Remote Church Video Production information

What is remote church video production?

Remote church video production refers to the process of creating, editing, and broadcasting church services and events via video from a location outside the physical church building. This role often involves coordinating live streams, pre-recorded content, and ensuring high-quality audio and visuals for online audiences. Remote church video producers use various software and hardware tools to deliver engaging worship experiences to people who cannot attend in person. The job may also include managing camera feeds, overlays, and integrating graphics or lyrics into the broadcast.

What are the key skills and qualifications needed to thrive as a remote church video production specialist?

To thrive as a Remote Church Video Production Specialist, you need expertise in video editing, live streaming, camera operation, and a foundational knowledge of audio-visual technology, often supported by experience or a related degree. Familiarity with software and platforms such as OBS, Wirecast, Adobe Premiere Pro, and church-specific streaming tools is typically required. Strong communication, problem-solving abilities, and adaptability are crucial soft skills for coordinating with church staff and responding to technical challenges during live broadcasts. These skills ensure seamless, high-quality production that effectively engages and connects the church community online.

What are some common challenges faced in a remote church video production role, and how can they be addressed?

One of the main challenges in remote church video production is coordinating with church staff and volunteers across different locations and time zones, which can make real-time communication and collaboration more difficult. Additionally, managing varying internet speeds and technical issues can impact the quality and consistency of live-streamed or recorded services. To address these challenges, it's important to establish clear communication channels (like Slack or Zoom), set up regular check-ins, and use reliable project management tools to keep everyone aligned. Having backup plans for technical issues and sharing best practices for remote production can also help ensure smooth operations.

What is the difference between Remote Church Video Production vs Remote Church Audio Technician?

AspectRemote Church Video ProductionRemote Church Audio Technician
CredentialsVideo production certifications, editing skillsAudio engineering certifications, sound system knowledge
Work EnvironmentVideo editing suites, live streaming setupsSound booths, live audio mixing stations
Industry UsageVideo content creation for online servicesAudio management for live and recorded services

Remote Church Video Production focuses on creating and editing video content for church services, while Remote Church Audio Technician specializes in managing sound quality and audio equipment. Both roles require technical skills and often work remotely to support church broadcasts and recordings, but they focus on different aspects of media production.

What are the most commonly searched types of Church Video Production jobs in Missouri?

The most popular types of Church Video Production jobs in Missouri are:

Infographic showing various Remote Church Video Production job openings in Missouri as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 2% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Applied Research Engineer - Video

Jobgether

Remote

$80K - $110K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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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