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Remote Video Researcher Jobs in Connecticut (NOW HIRING)

Digital United

AI Solutions Associate

Farmington, CT · On-site +1

$60K - $75K/yr

Contribution to the research, development, and launch of multiple AI proofs-of-concept or pilots ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT

All JobsVideo Researcher JobsRemote Video Researcher JobsRemote Video Researcher Jobs in Connecticut

Remote Video Researcher information

What is a remote video researcher?

A Remote Video Researcher is a professional who gathers, reviews, and analyzes video content from various sources to support projects such as documentaries, news segments, or entertainment productions. Working remotely, they use online databases, archives, and other digital tools to find relevant footage, verify its authenticity, and ensure it meets project requirements. They may also handle licensing, permissions, and cataloging of video assets. This role typically requires strong research skills, attention to detail, and familiarity with video editing or management software.

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

To thrive as a Remote Video Researcher, you need strong analytical abilities, attention to detail, and proficiency in researching and verifying video content, often backed by a degree in media, communications, or a related field. Familiarity with video editing software, online research tools, digital asset management systems, and sometimes data analytics platforms is typically required. Excellent organizational skills, self-motivation, and clear written communication help you stand out in managing projects and collaborating remotely. These skills ensure accurate content sourcing, efficient workflow, and effective teamwork in a digital, fast-paced environment.

What are some common challenges faced by remote video researchers and how can they be addressed?

Remote Video Researchers often encounter challenges such as verifying the authenticity of video sources, maintaining effective communication with team members across different time zones, and staying updated with the latest video analysis tools. To address these, it's helpful to establish clear protocols for source verification, use collaboration platforms for seamless teamwork, and dedicate time to ongoing training on new software. Adapting to a remote work environment also requires strong self-management and proactive outreach to colleagues to ensure alignment on project goals.

What is the difference between Remote Video Researcher vs Remote User Experience Researcher?

AspectRemote Video ResearcherRemote User Experience Researcher
Required CredentialsBachelor's in Psychology, Sociology, or related fields; research experienceBachelor's or higher in Human-Computer Interaction, Psychology, or related fields; research experience
Work EnvironmentRemote, often in research or media companiesRemote, in tech, software, or product companies
Employer & Industry UsageMarket research firms, media companiesTech companies, startups, software firms
Common Search & ComparisonYesYes

The Remote Video Researcher focuses on analyzing video content and conducting research through video-based methods, often in media or market research settings. In contrast, the Remote User Experience Researcher specializes in studying user interactions with digital products to improve usability. While both roles require research skills and remote work experience, their industry focus and primary methods differ.

What are popular job titles related to Remote Video Researcher jobs in Connecticut? For Remote Video Researcher jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Video Researcher jobs in Connecticut look for? The top searched job categories for Remote Video Researcher jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Video Researcher jobs? Cities in Connecticut with the most Remote Video Researcher job openings:
Remote Video Researcher jobs near you

Research Intern on Generative and Protective AI for Content Creation

Sony

Stamford, CT • On-site, Remote

$50/hr

Full-time

Posted 6 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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