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Video Encoding Jobs in Massachusetts (NOW HIRING)

Genetec

Field Engineer

Boston, MA · On-site +1

Video Surveillance Systems (VMS, IP cameras and encoders, analytics, etc.) and Access Control Systems (Software configuration, readers, controllers, wiring, etc.) * Excellent administration and ...

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How much do video encoding jobs pay per hour?

As of May 31, 2026, the average hourly pay for video encoding in Massachusetts is $31.59, according to ZipRecruiter salary data. Most workers in this role earn between $28.89 and $33.32 per hour, depending on experience, location, and employer.

What is a Video Encoding job?

A Video Encoding job involves converting raw or edited video files into specific formats and resolutions for streaming, broadcasting, or storage. Professionals in this role optimize compression settings, maintain video quality, and ensure compatibility across various platforms and devices. They work with encoding software, codecs, and streaming protocols to deliver the best viewing experience. This job often requires knowledge of video formats, encoding tools, and media workflows.

What are the key skills and qualifications needed to thrive in the Video Encoding position, and why are they important?

To thrive in a Video Encoding role, you need a solid understanding of video codecs, compression techniques, and digital media formats, often supported by a degree in media production or computer science. Familiarity with industry-standard tools such as Adobe Media Encoder, FFmpeg, and cloud-based encoding platforms, as well as relevant certifications, is highly beneficial. Strong attention to detail, time management, and problem-solving skills help ensure efficient and high-quality outputs. These skills and qualities are crucial for maintaining optimal video quality, meeting delivery deadlines, and addressing technical challenges in a rapidly evolving digital media environment.

What are the typical challenges faced by professionals working in video encoding roles?

Professionals in video encoding often encounter challenges such as balancing video quality with file size and bandwidth limitations, keeping up with evolving codec standards, and troubleshooting playback compatibility across multiple devices. The work may require rapid turnaround times, especially when preparing content for streaming platforms or live broadcasts. Collaboration with video editors, producers, and IT teams is common to ensure seamless digital workflows. Staying adaptable and proactive about learning new tools and best practices is key to meeting the demands of this fast-paced industry.
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Video Encoding jobs near you
Part-time Lecturer in Art and Artificial Intelligence

Part-time Lecturer in Art and Artificial Intelligence

Tufts University

Boston, MA • On-site

Part-time

Posted 26 days ago

Tufts University rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

107th of 530 rated colleges and universities

Job description

Description
The DIgital Media area of the School of the Museum of Fine Arts at Tufts University invites artists working with AI to apply to teach a couse titled "Art/Archives/AI" in Fall 2026. The course covers the use of artificial intelligence within broader artistic, social, and political contexts.
This area is looking for an art practiioner who brings critical depth to the subject -- one who understands AI not merely as an art tool but as a cultural force with specific histories, power structures, and material consequences. Relevant critical frameworks may include, but are not limited to: indigenous epistemologies and their relationship to technological systems; critiques of platform capitalism and digital feudalism; interrogations of how archives encode and perpetuate bias, exclusion, and authority.
Qualifications
An MFA or equivalent terminal degree in FIne Arts, Design, Media Arts, or a related field is required.
A minimum of two years teaching experience at the college or university level is required.
Candidates must have an artistic or design practice that critically engages with technology, specifically with artificial intelligence, including cultural, political, and eithical discourses surrounding its development and application.
Practioners working across media, and whose primary practice relates to computer animation, video installation, and/or graphic arts are stronly encouraged to apply. Pedological approaches that value experimentation, critical making, and the integration of theory and practice are particularly welcome. Candidates must be available to teach this course Tuesdays, 2:30pm - 7:30pm
Application Instructions
All applications are submitted via Interfolio at https://apply.interfolio.com/184395. Applicants should submit a CV, cover letter, teaching philosophy, artist statement, and a portfolio of 20 images or online links to movie clips of recent artwork.
Please provide the names and contact information for two references to be contacted at a later date.
All offers of employment are contingent upon the completion of a background check.
Review of applications begins on April 20, 2026, and will continue until the position is filled. Please direct any questions to Cristobal Cea (Cristobal.Cea@Tufts.edu), Area Representative for Digital Media at SMFA at Tufts University.

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