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Remote Film Analyst Jobs in Springfield, VA (NOW HIRING)

All JobsFilm Analyst JobsRemote Film Analyst JobsRemote Film Analyst Jobs in Springfield, VA

Remote Film Analyst information

See Springfield, VA salary details

$32.4K

$76.5K

$135.8K

How much do remote film analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote film analyst in Springfield, VA is $76,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $90,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Film Analyst, and why are they important?

To thrive as a Remote Film Analyst, you need a solid background in film studies, critical analysis, and a keen eye for detail, often supported by a relevant degree or experience in film criticism. Familiarity with video streaming platforms, content management systems, and film analysis software is commonly required. Excellent written communication, time management, and independent research skills help you stand out in remote environments. These skills ensure accurate, insightful film evaluations and timely delivery of analyses essential for media organizations or streaming platforms.

What does a Remote Film Analyst do?

A Remote Film Analyst reviews and evaluates films, TV shows, or video content from a distance, typically working from home or another remote location. Their role involves watching content, analyzing narrative structure, cinematography, acting, and other elements, and then providing detailed feedback or reports. They may work for production companies, streaming platforms, or market research firms to help guide content decisions or assess the quality and market potential of media. The job often requires strong analytical skills, attention to detail, and a deep understanding of film theory and history. Communication and writing skills are also essential for producing clear and insightful analyses.

What is the difference between Remote Film Analyst vs Remote Video Content Reviewer?

AspectRemote Film AnalystRemote Video Content Reviewer
Required CredentialsFilm/Media degree, analytical skillsBasic computer skills, content guidelines knowledge
Work EnvironmentHome office, media companiesHome or office, content platforms
Industry UsageFilm, TV, streaming servicesSocial media, video sharing platforms
Common Search IntentAnalyzing films, media contentReviewing videos for policy compliance

Remote Film Analysts focus on evaluating and analyzing film and media content, often requiring media-related credentials. Remote Video Content Reviewers primarily monitor and review user-generated videos for policy adherence, with less emphasis on media analysis. Both roles are remote, but they serve different functions within the media and content industry.

How do Remote Film Analysts typically collaborate with production teams and other stakeholders while working off-site?

Remote Film Analysts often communicate with production teams, directors, and editors primarily through video calls, collaborative platforms, and detailed written reports. They review footage independently and then participate in virtual meetings to discuss insights, provide feedback, and align on creative direction. Staying organized and proactive in communication is key to ensuring that their analysis is integrated seamlessly into the production process. Regular updates and clear documentation help bridge the distance and maintain effective teamwork.
What are popular job titles related to Remote Film Analyst jobs in Springfield, VA? For Remote Film Analyst jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Remote Film Analyst jobs in Springfield, VA look for? The top searched job categories for Remote Film Analyst jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Film Analyst jobs? Cities near Springfield, VA with the most Remote Film Analyst job openings:
Remote Film Analyst jobs near you
Infographic showing various Remote Film Analyst job openings in Springfield, VA as of July 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 40% In-person, and 60% Hybrid job distribution, with an average salary of $76,523 per year, or $36.8 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Annandale, VA • On-site, Remote

$50/hr

Full-time

Posted 4 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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