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User Generated Content Creator Jobs in Wayne, NJ

NxT Level

Product Policy, Lead

Manhattan, NY · On-site +1

Content policy, regulation of user-generated content, or media policy * Organized with rigorous attention to detail, drive for excellence * Ability to quickly and effectively learn and explore new ...

Citizen

Director of Marketing

New York, NY · On-site

Citizen distributes thousands of user-generated videos daily to keep communities informed and ... ongoing creator roster • Goal: high-quality content that improves the in-app experience ...

NxT Level

Product Policy, Lead

Manhattan, NY · On-site

Content policy, regulation of user-generated content, or media policy * Organized with rigorous attention to detail, drive for excellence * Ability to quickly and effectively learn and explore new ...

Petite Plume

Social Media Manager

New York, NY · On-site

$70K - $90K/yr

Source, curate, and repost user-generated content * Build relationships with creators and brand ... creator-focused tools * Experience using photo and video editing tools such as CapCut, Adobe ...

BARK

Social Media Manager

New York, NY · On-site +1

$120K - $140K/yr

Deep understanding of today's social platforms, the creator economy, internet culture, and how ... Experience building content strategies that combine original creative, creators, user-generated ...

BARK

Social Media Manager

New York, NY · On-site

$120K - $140K/yr

Deep understanding of today's social platforms, the creator economy, internet culture, and how ... Experience building content strategies that combine original creative, creators, user-generated ...

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All JobsUser Generated Content Creator JobsUser Generated Content Creator Jobs in Wayne, NJ

User Generated Content Creator information

See Wayne, NJ salary details

$25

$59

$105

How much do user generated content creator jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for user generated content creator in Wayne, NJ is $59.79, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $76.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a user generated content creator?

To thrive as a User Generated Content Creator, you need strong storytelling abilities, creativity, and a solid understanding of digital platforms, typically supported by experience in content creation or digital marketing. Familiarity with video and photo editing tools (such as Adobe Creative Suite or Canva) and knowledge of major social media platforms are essential. Excellent communication, adaptability, and audience engagement skills help creators stand out in a competitive landscape. These skills are crucial for producing authentic, high-quality content that resonates with audiences and drives engagement for brands or communities.

What is a user generated content creator?

A User Generated Content (UGC) Creator is someone who produces original content—such as videos, photos, reviews, or social media posts—about a brand, product, or service, typically as a consumer rather than a traditional influencer. UGC Creators are often hired by companies to make authentic, relatable content that resonates with their target audience. Unlike influencers, UGC Creators focus on storytelling and real-life experiences rather than growing a large personal following. Their content is used by brands in marketing campaigns to build trust and increase engagement. UGC is highly valued because it appears more genuine and trustworthy to potential customers.

What is the difference between User Generated Content Creator vs Content Writer?

AspectUser Generated Content CreatorContent Writer
CredentialsMay not require formal credentials; focus on creativity and social media skillsOften holds a degree in journalism, communications, or related fields
Work EnvironmentPrimarily online, social media platforms, and user communitiesTypically in offices or remote, producing articles, blogs, or marketing content
Employer & IndustryBrands, social media companies, marketing agenciesMedia outlets, marketing firms, corporate communications
Search & Comparison IntentLooking for content creation on social platforms, user engagementFocused on professional writing, SEO, and content strategy

The main difference is that User Generated Content Creators produce content from user perspectives mainly for social media, while Content Writers create polished, professional content for various media outlets. Both roles require strong communication skills but differ in environment and credentials.

How do user generated content creators typically collaborate with marketing and product teams?

User Generated Content Creators often work closely with marketing and product teams to align their content with brand goals and messaging. They may participate in brainstorming sessions, receive briefs outlining campaign objectives, and provide feedback on what resonates with audiences. Regular communication ensures that their content supports product launches, promotions, and community engagement strategies. This collaborative structure helps creators stay informed about upcoming initiatives and produce relevant, impactful content.
What are popular job titles related to User Generated Content Creator jobs in Wayne, NJ? For User Generated Content Creator jobs in Wayne, NJ, the most frequently searched job titles are:
What job categories do people searching User Generated Content Creator jobs in Wayne, NJ look for? The top searched job categories for User Generated Content Creator jobs in Wayne, NJ are:
What cities near Wayne, NJ are hiring for User Generated Content Creator jobs? Cities near Wayne, NJ with the most User Generated Content Creator job openings:
User Generated Content Creator jobs near you

Staff Machine Learning Engineer - Content Intelligence

Spotify

New York, NY • On-site

Other

Medical, Retirement, PTO

Re-posted 6 days ago

Job description

We design Spotify's consumer experience - end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow-driven by advances in AI and new creation tools-we're building intelligent systems that can evaluate, manage, and route content reliably at global scale.
We're seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you'll work on systems that generate deep, machine-readable understanding of content across audio, video, text, and images-enabling automation, improving quality, and unlocking new product experiences. This work is central to delivering safe, high-quality, and differentiated experiences for millions of listeners and creators worldwide.
What You Will Do
  • Build and scale machine learning systems that generate deep understanding of content across modalities
  • Develop models for classification, tagging, semantic understanding, and content enrichment
  • Create high quality content enrichment at scale using LLMs and agentic systems.
  • Design systems that make content intelligence signals available to downstream teams and products
  • Improve automation for content quality, safety, and metadata enrichment at scale
  • Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
  • Contribute to evaluation frameworks, data pipelines, and annotation systems
  • Support rapid experimentation to prototype and launch new types of content signals
  • Help improve system reliability, scalability, and performance across large datasets

Who You Are
  • You have experience building and deploying machine learning systems in production
  • You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar
  • You have experience working with large datasets and care about data quality and evaluation
  • You are interested in or have worked with multimodal machine learning
  • You understand how to design systems that balance automation with quality and user experience
  • You are comfortable working on complex problems with evolving requirements
  • You think in systems and understand how models connect to product outcomes
  • You communicate clearly and work well across technical and non-technical teams

Where You Will Be
  • This role is based in New York, NY
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is 227,495-324,993 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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. Find our AI notice here: https://lifeatspotify.com/ai-notice

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