Content Manager job opportunity at Weekday AI.

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Date2026-01-28T06:57:48.955Z bot
Weekday AI Content Manager
Experience: 5-years
Pattern: Full-time
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This role is for one of the Weekday's clients Min Experience: 5 years JobType: full-time We are looking for a highly skilled and forward-thinking Content Manager to lead the creation, management, and optimization of content designed specifically for Large Language Models (LLMs) and AI-driven systems . This role sits at the intersection of content strategy, language, data, and emerging AI technologies. You will play a critical role in shaping how AI understands, generates, and responds to human language at scale. As a Content Manager, you will be responsible for building high-quality datasets, crafting structured prompts, defining content standards, and ensuring linguistic accuracy, contextual relevance, and ethical alignment across all AI outputs. You will collaborate closely with AI/ML engineers, product managers, and data teams to translate business and user needs into scalable, AI-ready content frameworks. Key Responsibilities Design, create, and manage high-quality textual content used for training, fine-tuning, and evaluating LLMs. Develop and maintain prompt libraries, conversation flows, and instruction datasets aligned with product and business goals. Define content taxonomies, annotation guidelines, and style frameworks to ensure consistency across AI training data. Review, curate, and refine large volumes of AI-generated and human-written content for accuracy, relevance, bias, and tone. Collaborate with AI/ML teams to improve model performance through content iteration, feedback loops, and evaluation insights. Lead content quality audits, error analysis, and continuous improvement initiatives for AI outputs. Establish best practices for AI content ethics , inclusivity, safety, and compliance. Mentor junior content specialists and reviewers, setting clear quality benchmarks and workflows. Stay updated with advancements in LLMs, prompt engineering, AI alignment, and language model evaluation techniques. Required Skills & Qualifications 5–12 years of experience in content strategy, editorial leadership, or structured content creation , with exposure to AI or ML-driven products. Strong understanding of LLMs, prompt engineering, conversational AI, and generative AI workflows . Exceptional command of language, grammar, and semantics, with the ability to write and edit at scale. Experience working with annotated datasets, content labeling, or AI training data is highly preferred. Analytical mindset with the ability to assess AI responses and translate insights into content improvements. Proven ability to collaborate cross-functionally with technical and non-technical teams. Familiarity with content management tools, annotation platforms, and AI evaluation frameworks is a plus.

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