Content Engineer
New
W
WpromoteMarketing
Remote, United StatesFull-TimeMiddle
Salary70,000 - 80,000 USD per year
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Job Details
- Experience
- 2-3 years
- Required Skills
- Google AnalyticsSEOPrompt EngineeringGenerative AISEMrush
Requirements
- 2-3 years of experience in copywriting, content marketing, editorial, content strategy, or a related creative discipline
- Portfolio demonstrating strong writing and editing across multiple formats, audiences, brand voices, or industries
- Exceptional command of language, structure, grammar, storytelling, and persuasive communication
- Working knowledge of established editorial standards and style guides with strong fact-checking and quality-control instincts
- Hands-on experience using generative AI throughout the content-development process
- Ability to explain how to prompt, evaluate, edit, and improve AI-assisted work
- Experience building and working with custom AI assistants, lightweight agents, automated content workflows, and evaluation frameworks using platforms such as ChatGPT, Claude, Perplexity, or Profound
- Working familiarity with analytics, SEO, keyword research, and social listening platforms such as Google Analytics, Google Search Console, Semrush, and Hootsuite
- Strong working knowledge in creating repeatable content workflows, templates, or prompt systems
- Strong client-facing communication, presentation, collaboration, and feedback-management skills
Responsibilities
- Designing end-to-end AI-powered content production workflows spanning research, ideation, strategy inputs, briefing, drafting, optimization, editing, quality assurance, repurposing, and delivery
- Owning the development of content across a portfolio of approximately 1–6 clients while working closely with Content Marketing and Digital PR managers
- Writing and editing across formats, including website and landing-page copy, articles, thought leadership, campaign concepts, email, social, paid media, scripts, and sales enablement
- Building reusable prompt libraries, templates, agents, evaluation criteria, and editorial guardrails that improve speed, consistency, and quality across accounts
- Evaluating AI-generated work for accuracy, originality, relevance, bias, brand alignment, and editorial quality
- Identifying friction in the content-production process and developing practical solutions that improve team efficiency
- Testing emerging AI models and content technologies to establish responsible best practices
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