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Contract Position: Video Editor \& Social Media Content Creator (Motion Graphics \+ AI Focus)
Date posted: June 4, 2026
Pay: Starting at $20 per hour and up, based on experience and skill level
Job description:
Contract Position: Video Editor, Social Media Content Creator, and AI Video Specialist
Company: Wenning Branding
Location: Remote, U.S. based candidates only
Type: Contractor, Flexible Schedule
Pay: Starting at $20 per hour and up, based on experience and skill level
About Wenning Branding
Wenning Branding is a full service creative agency specializing in promotional products, branding, video production, web design, social media content, and digital marketing. We work with clients nationwide to create high quality content that helps businesses stand out, generate leads, and build stronger brands.
We are looking for a talented Video Editor and Social Media Content Creator who is creative, detail oriented, and efficient. This person should have strong experience editing videos, creating motion graphics, designing social media content, and using modern AI tools to speed up production without sacrificing quality.
This role is ideal for someone who understands how to create scroll stopping content for Facebook, Instagram, TikTok, YouTube, LinkedIn, and other major platforms, while also being comfortable using AI tools to create AI avatars, AI generated video content, captions, voiceovers, short form clips, and other creative assets that help save time and money for our clients.
About the Role
As a contractor with Wenning Branding, you will collaborate with our creative and marketing teams to produce engaging video, graphic, and social media content for both our internal brand and our clients. You will help bring ideas to life across multiple formats, including short form social ads, product reels, AI assisted videos, avatar based videos, motion graphic explainers, promotional videos, brand campaigns, and social media content calendars.
The right candidate should be able to take raw footage, brand assets, scripts, product images, or client ideas and turn them into polished content that performs well online. You should also be comfortable recommending ways to use AI tools to make content production faster, more affordable, and more scalable for clients.
Responsibilities
Edit and produce short form and long form video content for Facebook Ads, Instagram Reels, YouTube Ads, YouTube Shorts, TikTok Ads, LinkedIn, and other social platforms.
Create engaging social media videos, product videos, promotional videos, testimonials, educational videos, and ad creatives.
Design and animate motion graphics, lower thirds, titles, captions, transitions, and on screen text using Adobe After Effects.
Create AI avatar videos, AI assisted video content, AI voiceovers, and AI generated visual assets when appropriate for client projects.
Use AI tools to improve workflow efficiency, including video generation, captioning, script support, repurposing content, background removal, image generation, audio cleanup, and short form clip creation.
Create eye catching graphics, thumbnails, social posts, and ad visuals using Adobe Photoshop and Illustrator.
Repurpose longer videos into short form clips for Reels, TikTok, YouTube Shorts, and paid ad campaigns.
Collaborate with the internal marketing team to conceptualize creative ad ideas, campaign visuals, video hooks, and social media content strategies.
Adapt content for different platforms, including Facebook, Instagram, TikTok, YouTube, LinkedIn, Pinterest, and other relevant channels.
Optimize videos for proper aspect ratios, pacing, captions, platform requirements, and audience engagement.
Schedule and post social media content using proper formatting, tagging, captions, and hashtags.
Work with our team to develop promotional product mockups, apparel mockups, client proofs, and branded visuals when needed using Adobe Illustrator and Photoshop.
Stay up to date on social media trends, AI video tools, motion design trends, advertising creative, and content performance best practices.
Manage multiple projects at once while meeting deadlines and maintaining quality.
Requirements
Proficiency in Adobe Premiere Pro and After Effects. Five or more years preferred.
Strong skills in Photoshop and Illustrator. Three or more years preferred.
Demonstrated experience creating social media ads, branded content, product videos, and short form video content.
Experience creating content for Facebook, Instagram, TikTok, YouTube, LinkedIn, and other social platforms.
Experience using AI tools for video creation, AI avatars, AI voiceovers, captions, image generation, editing automation, or content repurposing.
Strong understanding of social media best practices, video lengths, platform formats, hooks, pacing, captions, and storytelling.
Ability to create clean, professional motion graphics and branded video content.
Experience with social media scheduling tools and basic content management.
Excellent attention to detail, creativity, time management, and communication skills.
Ability to take direction, make revisions, and work efficiently in a fast paced creative environment.
Ability to handle multiple client projects and meet deadlines.
Preferred Qualifications
Bachelor’s degree in Media Production, Design, Marketing, Communications, or a related field. Preferred but not required.
Experience working with creative agencies, marketing agencies, or multiple client brands.
Experience with AI video platforms, AI avatar tools, AI image tools, and AI content tools.
Experience with tools such as CapCut, Opus Clip, Descript, Runway, HeyGen, Synthesia, ElevenLabs, Kling, Higgsfield, Canva, or similar platforms.
Basic understanding of paid social media advertising and how video creative impacts ad performance.
Basic understanding of audio mixing, lighting, camera setup, and filming best practices.
Experience creating promotional product mockups, apparel visuals, or product based content is a plus.
What We Offer
Flexible remote contractor position.
Opportunity to work with a fast growing creative agency.
A wide variety of projects across multiple brands and industries.
Creative freedom to bring new ideas, trends, and AI powered workflows to the table.
Portfolio exposure through video, branding, social media, promotional products, and digital marketing campaigns.
Opportunity to grow with Wenning Branding as our creative and AI content services continue to expand.
How to Apply
Please include the following with your application:
A cover letter introducing yourself and explaining why you would be a great fit for Wenning Branding.
Links to your portfolio, showreel, social media content, video ads, AI video examples, AI avatar videos, or other examples of work you have created.
Examples of content you have created for Facebook, Instagram, TikTok, YouTube, LinkedIn, or paid advertising campaigns.
A short explanation of the AI tools you have used and how you have used them to create video content, avatars, captions, graphics, or social media content more efficiently.
Job Type: Contract
Pay: From $20\.00 per hour and up
Benefits:
Flexible schedule
Work from home
Work Location: Remote
Job Type: Contract
Pay: From $20\.00 per hour
Benefits:
- Health insurance
- Paid time off
Work Location: Remote
Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 3,823 AI roles we're tracking, AI/ML Engineer positions make up 69% of the market. At Wenning Branding, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $181,170 based on 12,692 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Wenning Branding AI Hiring
Wenning Branding has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Remote, US.
Remote Work Context
Remote AI roles pay a median of $170,000 across 1,926 positions. About 15% of all AI roles offer remote work.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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