Instructional Designer / Content Engineer

Job Description

Job Title

Content Engineer / Learning Technology Content Architect

Location

Austin, TX

On-site, Remote (Partially on-site in Austin, TX)

Engagement Details

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

Pay Range: $58.00 – $62.00 per hour on a W2 basis

What You'll Do

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.

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.