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Video Collaboration Engineer Remote Jobs (NOW HIRING)

QCi

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue ... Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can ...

Bigcommerce

Lead Software Engineer - Remote

OR · On-site +1

$110K - $216K/yr

We are a remote-first team that values collaboration and prioritizes team over individual ... Apply software engineering and SRE principles to create tools, services, and automation for ...

Lumenci

Consultant - Video Codec

Austin, TX · Remote

$100K - $150K/yr

This role is ideal for engineers with hands-on experience in modern video codecs (AV1, HEVC/H.265 ... Collaboration: We encourage collaboration over competition, work in small teams, and believe that ...

Raytheon Technologies

Senior Analytics Engineer (Remote)

OR · Remote

$104K - $143K/yr

Experience using Agile collaboration and project management tools such as Jira and Confluence What ... Remote : Employees who are working in Remote roles will work primarily offsite (from home). An ...

Feedonomics

Lead Software Engineer - Remote

$110K - $216K/yr

We are a remote-first team that values collaboration and prioritizes team over individual ... Apply software engineering and SRE principles to create tools, services, and automation for ...

QCi

Job Title Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division : Revenue ... Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can ...

143 Studios LLC

Lead Video

Boston, MA · On-site +1

In addition to leading the video post-production workflow, this person will also manage video editing tools and systems, including remote-access tools to support cross-team collaboration. Creative ...

ICF

FHIR Engineer - Remote

Reston, VA · On-site +1

Experience with Agile software development methodologies is a must, as we value collaboration and ... Work with test engineering team to assure product quality * Collaborate in a fast-paced Agile ...

Da Vinci Software

Data Engineer (Remote)

Rochester, MN · On-site +1

$111K - $134K/yr

... collaboration and problem solving. What We Do We provide enterprise-level agile coaching and ... We provide architects, developers and testers that enjoy accountability, team success and ...

Ectobox Inc.

IIoT Engineer (Remote)

Pittsburgh, PA · Remote

$110K - $130K/yr

Industry 4.0 Engineer About Ectobox Ectobox is a Pittsburgh-based remote industrial intelligence ... cloud layers Collaboration & Leadership * Work closely with Solutions Architects and Project ...

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All JobsVideo Collaboration Engineer Remote Jobs

Video Collaboration Engineer Remote information

See salary details

$30.5K

$88.3K

$139.5K

How much do video collaboration engineer remote jobs pay per year?

As of Jun 9, 2026, the average yearly pay for video collaboration engineer remote in the United States is $88,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Video Collaboration Engineer Remote vs Video Systems Engineer?

AspectVideo Collaboration Engineer RemoteVideo Systems Engineer
CredentialsTypically requires a bachelor's in engineering, IT, or related field; certifications like CTS or CCNA are commonSimilar credentials; often holds certifications like CTS or Cisco certifications
Work EnvironmentRemote or hybrid; collaborates with clients and teams virtuallyOn-site or hybrid; manages physical video systems and infrastructure
Industry UsageUsed in corporate, education, and telehealth sectors for virtual collaborationUsed in broadcast, corporate AV, and enterprise video infrastructure

The main difference is that Video Collaboration Engineers Remote focus on designing, implementing, and supporting virtual video collaboration solutions primarily remotely, while Video Systems Engineers often work on physical video infrastructure and systems, sometimes on-site. Both roles require similar credentials and industry knowledge, but their work environments and specific responsibilities differ.

What is a Video Collaboration Engineer (Remote)?

A Video Collaboration Engineer (Remote) is a specialized IT professional responsible for designing, implementing, and maintaining video conferencing and collaboration solutions for organizations, often from a remote location. They work with platforms like Zoom, Microsoft Teams, or Cisco Webex to ensure seamless virtual communication and troubleshoot any technical issues that may arise. Their duties also include optimizing video and audio quality, integrating collaboration tools with existing IT infrastructure, and providing support to end-users. This role is crucial in supporting remote and hybrid work environments, ensuring teams can communicate effectively no matter where they are located.

What are some common challenges faced by Video Collaboration Engineers working remotely, and how can they be overcome?

Remote Video Collaboration Engineers often face challenges such as troubleshooting complex technical issues without onsite access, ensuring seamless integration across diverse user devices, and maintaining high-quality user experiences in varied network conditions. To overcome these, it's important to be adept with remote diagnostic tools, stay current with collaboration platform updates, and communicate proactively with IT teams and end-users. Building strong documentation practices and leveraging cloud-based monitoring solutions can also help streamline support and enhance collaboration within distributed teams.

What are the key skills and qualifications needed to thrive as a Video Collaboration Engineer (Remote), and why are they important?

To thrive as a Video Collaboration Engineer (Remote), you need expertise in video conferencing technologies, network troubleshooting, and a background in IT or computer science. Familiarity with platforms like Zoom, Microsoft Teams, Cisco Webex, and certifications such as CCNA or Microsoft Certified: Teams Administrator are commonly required. Strong problem-solving, communication skills, and the ability to work independently are crucial soft skills for remote collaboration and support. These skills ensure seamless virtual communication, minimize technical disruptions, and enable efficient remote teamwork.
AI Engineer-Remote Opportunity

AI Engineer-Remote Opportunity

Answer Financial Inc.

Remote

Full-time

Posted 8 days ago

Job description

Answer Financial is an Allstate company with 25+ years in the industry and one of the nation's largest and longest running personal lines insurance agencies. We are 100% remote - work from home company.
The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company's technology ecosystem - including Microsoft Copilot Studio, Power Platform, and AWS-based ML environments.
This hybrid role bridges AI/ML development, agentic AI orchestration, and MLOps infrastructure, ensuring that models and intelligent agents are secure, scalable, and business-aligned.
The position advances the company's use of AI across all internal and external customer experiences by:
  • Building and operationalizing AI models and copilots that augment business workflows.
  • Integrating models into Microsoft Copilot Studio, Power Apps, and Power Automate.
  • Managing the lifecycle of models deployed through AWS SageMaker, Azure ML, or internal APIs.

Essential Job Duties/Responsibilities:
A. AI / ML & Agentic AI Engineering
  • Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG) pipelines.
  • Develop and maintain custom Copilots and intelligent agents within Microsoft Copilot Studio that interact with enterprise data and APIs.
  • Implement Power Platform integrations (Power Apps, Power Automate, Power Virtual Agents) for business-facing AI workflows.
  • Collaborate with data scientists to transform prototypes into production-grade, secure, and compliant solutions.
  • Build domain-specific AI skills and agents tailored to insurance and financial processes.

B. MLOps / Platform Engineering
  • Develop and automate ML pipelines for training, deployment, and monitoring on AWS SageMaker and Azure ML.
  • Manage CI/CD for AI models and Copilot plugins using MLflow, Airflow, Docker, and Kubernetes.
  • Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and usage analytics.
  • Integrate AI governance frameworks ensuring auditability, explainability, and data privacy compliance.

C. Collaboration and Support
  • Partner with software engineering and Power Platform teams to embed AI services into core business systems.
  • Collaborate with IT and Security on Copilot extensions and secure connectors for enterprise data.
  • Mentor junior AI engineers on cloud AI tools, Copilot integration, and MLOps best practices.

Experience:
Required
  • 2-5 years combined experience in software engineering, ML, and/or MLOps.
  • Proven success deploying AI/ML models in Microsoft or AWS environments.
  • Strong proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), and API integration.
  • Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps development.
  • Experience deploying AI pipelines in AWS SageMaker or Azure ML.
  • Familiarity with LLM-based copilots, agent orchestration, and prompt engineering.

Preferred
  • Experience connecting Copilot agents to proprietary datasets via secure connectors or APIs.
  • Knowledge of vector databases (Pinecone, FAISS) and RAG architectures.
  • Familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs.
  • Background in financial or insurance domain AI use cases.

Education:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.

Certifications (Preferred):
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Power Platform Solution Architect / Developer Associate
  • AWS Certified Machine Learning - Specialty
  • Microsoft Copilot Studio or AI Builder training credentials

Physical Requirements:
  • Representative of those that must be met by an employee to successfully perform the essential function of the job. Must be able to operate a PC, other relevant office tools/equipment, sit for extended periods, and/or occasionally stand for extended periods, lead training classes and travel. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Compensation:
Compensation offered for this role is 120,000.00-199,200.00 annually and is based on experience and qualifications.
Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas. Answer Financial is an equal opportunity employer.

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