Content Engineer

Responsibilities Apply and populate structured content models for technical enablement assets, including learning objectives, conceptual modules, procedures, and assessments. Work within established schemas, taxonomies, and metadata frameworks to ensure content is accurately tagged and easily retrievable. Deconstruct and transform source materials from technical documentation and SME input into modular, reusable content components. Systems Integration & Workflow Execution Prepare and load content into core delivery platforms to enable dynamic, intelligent learning experiences. Validate content quality using established standards, rules, and automation pipelines. Use scripting and command-line tools to build, maintain, and refine publishing and automation workflows. Execute and monitor localization workflows, partnering with vendors and internal teams to support scalable translation pipelines. Partner with content strategists, SMEs, engineering teams, and program managers to support content systems, authoring tools, and publishing workflows. Serve as a technical resource for structured authoring and content modeling best practices. Work closely with AI and learning innovation teams to prepare structured assets that support adaptive learning and personalized study experiences. Minimum Qualifications 3–5 years of experience in content engineering, information architecture, or a related technical role. Proven experience with component-based content models and schemas. Strong understanding of taxonomy and metadata management. Experience with API-driven content delivery and proficiency with command-line interfaces. Familiarity with modern learning technology stacks. Excellent communication skills and the ability to work in highly collaborative environments. Demonstrated ability to translate complex technical information into structured content systems. Exceptional attention to detail and commitment to high-quality user experiences. Bachelor's degree in Computer Science, Technical Communication, Information Science, or equivalent experience. Preferred Qualifications Experience in technical training, professional certification, or corporate enablement. Understanding of enterprise-scale device or platform ecosystems. Scripting skills for automation and workflow tooling. Experience with localization pipelines and translation systems. Familiarity with advanced search, personalization, or adaptive learning platforms. Start Date: ASAP Duration: 6-month contract, with potential renewal for up to 18 months Hours: 40 hours per week Core Hours: Monday–Friday, 9:00 a.m. to 5:00 p.m. Work Schedule: On-site Tuesday, Wednesday, and Thursday; remote Monday and Friday Flexibility: Option to flex to 20–30 hours per week based on personal schedule and business needs Location: Partially on-site in Austin, TX One additional note: based on the responsibilities and qualifications, this reads more like a Content Engineer / Learning Technology Content Architect role than a traditional instructional designer or content developer role. If you're recruiting for it, you'll likely find stronger candidates by targeting content engineering, information architecture, technical content management, and learning technology backgrounds rather than L&D alone. The pay range for this is $58.00 to $62.00 per hour on a W2 basis. Individual pay is determined by a number of factors, including but not limited to skill set, depth of experience, relevant education, certifications and specific work location. Clarity Consultants is an Equal Opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, orientation, gender identity, disability or protected veteran status. #J-18808-Ljbffr Clarity Consultants