Fox

News Photographer

Austin, Texas, USA

Sponsorship not specified$20k-$25kDetected 31 days ago

About the role

Of these stations, 18 are affiliated with the FOX Network.
In addition to distributing sports, entertainment and syndicated content, our television stations collectively produce approximately 1,200 hours of local news every week.
These stations leverage viewer, distributor and advertiser demand for the FOX Network's national content.

At FOX 7 Austin, we don't wait for the clock to tell us when to deliver the news.
During your shift, you'll help us create and distribute content in real time - whether that's live in the field, collaborating through Slack, or publishing directly to our digital platforms.
Other days, you'll take the lead independently.
That means fewer standard "TV news packages" and more dynamic, creative storytelling designed for digital audiences.
We're looking for someone who's excited to experiment with format, embrace non-traditional storytelling techniques, and create content that's relevant, memorable, and impactful.

A minimum of 2 years of experience in small to medium-sized markets is preferred
You must be willing to work early mornings, late nights, weekends, and holidays as needed, and be available to travel for out-of-town assignments.
A valid driver's license is required.
Must be able to lift up to 25 pounds.

This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $20.00-25.00 per hour.

Our mission is 24/7 content delivery - meeting our audience where they are, whenever they need us.

This listing is sourced directly from Fox's careers page and normalized into a canonical job model.