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Remote Ai Video Jobs in Reston, VA (NOW HIRING)

Multi-Cloud Engineer

Chantilly, VA · On-site

$57 - $76.25/hr

Demonstrated experience with video codecs and streaming technologies * Demonstrated experience with ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

Manage complex, multi-site programs unifying LMR voice, LTE data, video evidence, and AI-driven ... The actual offer will be based on the individual candidate. #LI-JM3 #LI-REMOTE Basic Requirements ...

Remote - must work EST business hours - most teams prefer CST as the farthest from EST Team ... with Agentic AI within software development. Process: Initial Tech Screen (30-minute Video ...

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Remote Ai Video information

See Reston, VA salary details

$64K

$132.1K

How much do remote ai video jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote ai video in Reston, VA is $128,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $131,100.00 per year, depending on experience, location, and employer.

What is a remote AI video?

A Remote AI Video job involves working with artificial intelligence technologies to create, edit, analyze, or manage video content from a remote location. Professionals in this field may develop AI models for video recognition, automate video editing, or provide insights from video data using machine learning. These jobs often require experience with programming, video processing tools, and AI frameworks, and they allow employees to work from anywhere with an internet connection. Such roles are popular in industries like media, advertising, security, and education, where video content and analysis are in high demand.

What are the key skills and qualifications needed to thrive as a remote AI video specialist, and why are they important?

To thrive as a Remote AI Video Specialist, you need expertise in video editing, AI-driven video tools, and a solid understanding of digital media production, often supported by a degree in media, computer science, or related fields. Familiarity with software such as Adobe Premiere Pro, Final Cut Pro, and AI platforms like Synthesia or Descript is typically required. Strong communication, time management, and adaptability are essential soft skills for remote collaboration and meeting client expectations. These skills ensure efficient production of high-quality AI-generated video content that meets evolving technological and creative demands.

What are some common challenges faced by professionals working in remote AI video roles, and how can they be addressed?

Professionals in remote AI video roles often encounter challenges such as managing communication across distributed teams, keeping up with rapidly evolving AI technologies, and ensuring seamless collaboration on complex video projects. To address these, it's important to use robust project management and communication tools, actively participate in regular team stand-ups, and stay updated through continuous learning and training. Building strong relationships with colleagues through virtual meetings and clear documentation can also help maintain productivity and foster innovation in remote settings.

What is the difference between Remote Ai Video vs Remote Video Editor?

AspectRemote Ai VideoRemote Video Editor
Required SkillsAI tools, video automation, basic editingAdvanced editing, color correction, storytelling
Work EnvironmentPrimarily digital, AI platforms, cloud-based toolsEditing software, creative suites, collaborative platforms
Industry UsageMarketing, content creation, AI-driven mediaFilm, TV, advertising, social media content
CertificationsBasic video editing, AI or tech certificationsVideo editing courses, creative design certifications

Remote Ai Video roles focus on leveraging AI tools for automated or semi-automated video production, requiring knowledge of AI platforms and basic editing skills. Remote Video Editor positions involve detailed editing, storytelling, and creative input using advanced editing software. While both roles work remotely and in media industries, they differ in technical complexity and tools used.

What are popular job titles related to Remote Ai Video jobs in Reston, VA?

For Remote Ai Video jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Video jobs in Reston, VA look for?

The top searched job categories for Remote Ai Video jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Ai Video jobs?

Cities near Reston, VA with the most Remote Ai Video job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Strategic Education rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

8th of 225 rated education and training


Job description

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. This role builds and deploys predictive and LLM-based models using modern tools (CI/CD, Airflow), develops impactful insights through strong analytics and Power BI visualizations, and partners with stakeholders to identify high-value opportunities. The ideal candidate has strong analytical skills, a keen eye for data, and a passion for applying AI to real-world problems.
Key Objectives:
  • Deliver measurable business impact using machine learning and GenAI/LLM-driven solutions.
  • Improve operational performance through scalable, production-ready analytics.
  • Develop and maintain a suite of Power BI reports and dashboards to enable informed, data-driven business decisions.
  • Enable smarter decision-making through data storytelling and visualization.
  • Identify and implement high-value GenAI use cases across the organization.
  • Promote responsible and effective use of AI and advanced analytics.
  • Mentor junior team members and help elevate overall team capabilities.

Essential Duties & Responsibilities:
  • Analyze and integrate large, complex datasets from multiple sources, with cloud environments preferred.
  • Design, build, and deploy machine learning models and LLM-powered solutions.
  • Develop GenAI use cases such as text classification, embeddings, summarization, and decision-support tools.
  • Productionize models using CI/CD pipelines and orchestrate workflows using Airflow DAGs.
  • Monitor model performance, maintain documentation, and support governance, reliability, and ongoing model maintenance.
  • Translate analytical findings into clear and actionable business insights for technical and non-technical audiences.
  • Build dashboards and visualizations using Power BI to track KPIs, trends, and model outcomes.
  • Partner with stakeholders to identify opportunities for advanced analytics and AI adoption.
  • Apply strong data validation and quality checks to ensure data accuracy, completeness, and integrity.
  • Support ethical AI practices, data privacy requirements, and governance standards.
  • Mentor junior data scientists and contribute to team best practices and standards.

Required Skills:
  • Strong proficiency in SQL and Python, or R.
  • Hands-on experience developing and deploying machine learning models.
  • Experience with Generative AI and LLMs, including prompting, embeddings, and NLP-related use cases.
  • Experience with CI/CD pipelines, Airflow, and workflow orchestration.
  • Strong experience with Power BI or similar data visualization tools.
  • Excellent analytical and problem-solving skills with strong attention to detail.
  • Strong data intuition and the ability to identify patterns, anomalies, and meaningful insights.
  • Ability to communicate complex analytical and AI concepts clearly to technical and non-technical audiences.
  • Experience with version control tools such as Git and collaborative development practices.
  • Ability to work independently and effectively in ambiguous environments.

Preferred Qualifications:
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience operationalizing LLM-based solutions in production environments.
  • Familiarity with MLOps and model lifecycle management.
  • Demonstrated passion for AI innovation and continuous learning.

Work Experience:
  • 3+ years of experience in data science, advanced analytics, or a related field.
  • Proven experience building and deploying machine learning solutions in production.
  • Experience applying statistical analysis and predictive modeling.
  • Exposure to or hands-on experience with GenAI and LLM applications is strongly preferred.

Education:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required.

Other:
  • Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 - 20%) or Capella Core Faculty (5 - 10%).
  • Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor-to-floor using elevators or stairs.
  • If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
  • Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
  • This role may require lifting, however reasonable accommodations will be provided in accordance with our ADA policies.
  • Must be able to meet critical thinking and problem solving aspects aligned to job duties, as well as effectively communicating with co-workers.
  • Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
  • Able to access information using a computer.
  • Other essential functions and marginal job functions are subject to modification.

SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable.
Careers - Our Benefits, Strategic Education, Inc
SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. While it is not typical for an individual to be hired at or near the top end of the pay range at SEI, we offer a competitive salary. The actual base pay offered to the successful candidate may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay equity. Our Talent Acquisition Team is ready to discuss your interest in joining SEI. The expected salary range for this position is below.
$95,100.00 - $142,600.00 - Salary
If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.

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