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Espn Camera Jobs (NOW HIRING)

Wofford College

Athletics Video Intern

Spartanburg, SC · On-site

... for ESPN+ across multiple athletic events. * Support control room operations, including replay, graphics, audio, camera operation, and directing. * Collaborate with the broadcast team to ensure ...

Wofford College

Athletics Video Intern

Spartanburg, SC · On-site

... for ESPN+ across multiple athletic events. * Support control room operations, including replay, graphics, audio, camera operation, and directing. * Collaborate with the broadcast team to ensure ...

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How much do espn camera jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for espn camera in the United States is $22.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $24.76 per hour, depending on experience, location, and employer.

What is an ESPN Camera job?

An ESPN Camera job involves operating cameras to capture live sports events, interviews, and related broadcasts for ESPN. Camera operators ensure high-quality visuals by following the action closely, adjusting shots, and coordinating with the production team. They may work in various environments, including stadiums, arenas, and studio settings. This role requires technical expertise, quick reflexes, and an understanding of sports to anticipate key moments.

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

To thrive as an ESPN Camera Operator, you need expertise in camera operation, understanding of broadcast production processes, and experience with live sporting events, often supported by a degree in film, broadcasting, or a related field. Familiarity with advanced camera systems, remote controls, and live production software is highly valued in this role. Strong attention to detail, teamwork, adaptability, and effective communication skills set top candidates apart. These abilities are crucial to capturing dynamic live footage, collaborating with production teams, and delivering high-quality sports broadcasts in fast-paced environments.

What are the main challenges faced by ESPN Camera Operators during live sports broadcasts?

ESPN Camera Operators often contend with unpredictable and high-pressure environments, as sporting events can change rapidly and require quick adjustments to capture crucial moments. Working in large teams, operators must communicate seamlessly with directors and other crew members to ensure the best camera angles and smooth transitions. Long hours, travel, and outdoor settings can also be demanding, especially during major sports seasons. However, these challenges offer rewarding opportunities to work closely with production professionals, hone technical skills, and contribute directly to the excitement of live sports coverage.
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ESPN Camera jobs near you
Infographic showing various Espn Camera job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $46,781 per year, or $22.5 per hour.
Senior Systems Engineer, Cameras/Imaging [Remote]

Senior Systems Engineer, Cameras/Imaging [Remote]

DigitalFish, Inc

Sunnyvale, CA • Remote

$145K - $170K/yr

Full-time

Posted yesterday

Job description

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.

We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. 


THE ROLE

As part of a small and dynamic team, you'll play a pivotal role in advancing imaging technology for camera capture while developing end-to-end high fidelity, high accuracy, and photo reality camera simulator. The scope of these projects will encompass collaborating with camera architects and other teams such as systems, optics, algorithm development and IQ team, to execute, validate and improve camera simulation for purposes like architecture validation and component down selection.
WHAT YOU'LL DO
  • Develop, validate, and execute state-of-the-art imaging software simulation tools to enable novel camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products
  • Investigate latest imaging simulation methods (e.g. ISET, ZEMAX, non-sequential ray tracing) to enable realistic simulation of real camera behavior for architecture, algorithms, and image quality development for consumer mobile products
  • Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency
  • Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment
  • Develop and document camera test methodologies to support 2D/3D camera system performance analysis
  • Develop and debug test scripts for image data collection automation
  • Processing, analysis and organizing measurement data; presentation of initial analysis
  • Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations
WHO YOU ARE
  • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
  • Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena
  • Experience and knowledge in developing and tuning Image Signal Processing (ISP) pipeline
  • Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis
  • Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other
  • Experience coding in MATLAB or Python
  • Hands on experience in the development of lab setups for camera system performance study
  • Experiences in camera calibration and modeling of imaging systems
  • Familiar with image sensor, imaging optics, and image processing algorithms
  • Ability to work with minimal direction and managing a project independently from start to finish
  • Proof of eligibility to work in the United States
COMPENSATION & BENEFITS
  • The annual compensation includes equity (per qualifications)
  • The annual salary range for this position is $145,000 to $170,000 plus equity (per qualifications)
  • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!
ADDITIONAL INFO

DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.

DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.

DigitalFish is not able to sponsor immigration petitions for this role at this time.

All applicants must have the right to work in the United States.

We look forward to hearing from you!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.