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Remote Video Analyst Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

Ability to design controlled experiments, analyze noisy or ambiguous results, and make ... Fully remote working environment within Europe. * Full-time employment. * Opportunity to build and ...

New

Kohl's

$53.75 - $70.25/hr

... analysis, and monitoring tools. * Design, implement, and support GlobalProtect VPN and Prisma ... Troubleshoot remote-user connectivity, application performance, authentication, voice and video ...

Gainwell Technologies

Senior Reporting Business Analyst

MO · On-site +1

$69K - $99K/yr

Summary As a Senior Reporting Business Analyst at Gainwell, you can contribute your skills as we ... Fully remote options from Contiguous US locations only * Office Hours - 8a-5p central time * Video ...

Gainwell Technologies

Business Analyst - Healthcare - UAT

MO · On-site +1

$51K - $74K/yr

Summary As a Business Analyst - Healthcare - UAT at Gainwell, you can contribute your skills as we ... Fully remote options from most US locations and territories * Video cameras must be used during all ...

Rankings.io

$70K/yr

Analyze campaign data and provide insights to clients regarding performance * Share new services ... Fully Remote * Unlimited PTO * $100 Wellness Reimbursement Program * Quarterly training stipend for ...

Rankings.io

$100/hr

Strong analytical, communication, and collaborative skills are essential. The role sits in a lean ... Fully Remote * Unlimited PTO * $100 Wellness Reimbursement Program * Quarterly training stipend for ...

Rankings.io

$80K/yr

The ideal candidate excels in client communication, thrives in dynamic remote work environments ... Strong analytical and problem-solving skills * Ability to manage multiple clients and campaigns at ...

Jobgether

The role goes beyond scheduling posts, requiring hands-on content creation, short-form video ... Monitor social media analytics and use performance insights to continuously refine content and ...

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Remote Video Analyst information

What is a remote video analyst?

A Remote Video Analyst is a professional who reviews, interprets, and provides insights from video footage while working from a remote location. They may analyze security footage, sports games, surveillance videos, or other recordings to identify patterns, events, or data points relevant to their employer or client. This role often relies on specialized software and strong analytical skills to accurately assess video content. Remote Video Analysts may work for various industries, including sports, security, research, and media. Their findings can help organizations make informed decisions or improve processes based on the analyzed footage.

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

To thrive as a Remote Video Analyst, you need strong analytical abilities, attention to detail, and experience with video analysis or surveillance, often supported by a relevant degree or background in security, sports analysis, or data science. Familiarity with video management software, analytics tools, and possibly certifications in video analysis or security systems is typically required. Excellent communication, critical thinking, and the ability to work independently make someone stand out in this position. These skills ensure accurate, timely insights and effective collaboration while working remotely, ultimately enhancing decision-making and operational outcomes.

What are some common challenges faced by remote video analysts, and how can they be managed effectively?

Remote Video Analysts often face challenges such as maintaining focus during long periods of video review and managing potential technical issues with video streaming platforms. To address these, it's important to develop strong time management habits, take regular breaks to reduce eye strain and fatigue, and stay updated on the latest video analysis software. Additionally, effective communication with team members is essential, as collaboration on findings and sharing insights can help ensure accuracy and improve overall workflow.

What is the difference between Remote Video Analyst vs Remote Data Annotator?

AspectRemote Video AnalystRemote Data Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer related certificationsHigh school diploma; basic computer skills
Work EnvironmentRemote, often with flexible hoursRemote, often with flexible hours
Employer & Industry UsageTech companies, security, surveillance, autonomous vehicle developmentAI and machine learning companies, data labeling firms

Remote Video Analysts review and interpret video footage for security, surveillance, or autonomous vehicle data, requiring analytical skills and attention to detail. Remote Data Annotators label and categorize data, including videos, to train AI models. While both roles are remote and involve data handling, Remote Video Analysts focus on analysis and decision-making, whereas Remote Data Annotators primarily perform data labeling tasks.

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

The most popular types of Video Analyst jobs in Missouri are:

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

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

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

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

What cities in Missouri are hiring for Remote Video Analyst jobs?

Cities in Missouri with the most Remote Video Analyst job openings:

Remote Video Analyst jobs near you

Senior Applied Research Engineer - Video

Remote

Jobgether
See more jobs at Jobgetherexternal

$80K - $110K/yr

Full-time

Posted 3 days ago

New

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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