About the Program: 

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the Role: 

As the Technical Writer, you'll make the platform usable and well-documented. You'll produce the storefront user guide, component run books, and per-dataset documentation, and help package the program's closeout materials. Working across the engineering and architecture team, you'll translate complex technical systems into clear, accurate documentation that stands up to scrutiny. This role suits a writer who's comfortable in a technical, security-conscious environment and takes pride in documentation people actually rely on.

Key Responsibilities:

• Author the storefront user guide covering the Phase 1 customer-facing interface and single-path ICAM-authenticated journey
• Draft the Phase 1 NPP closeout report in coordination with the TPM
• Support formatting and editorial review of SA-led platform component run books
• Support AFS handoff briefing materials preparation
• Ensure all documentation meets federal CUI marking requirements and AFS submission standards

Must-Have Qualifications:

• Bachelor's degree in English, Technical Communication, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
• 5+ years total professional experience, 3+ years technical writing for software platforms or federal programs
• Technical documentation for software platforms and APIs — user guides and closeout reporting
• Ability to translate engineering-level content into clear, user-facing federal documentation
• Federal program documentation standards and CUI marking / handling
• Works efficiently under tight deadlines from engineer-provided content

Nice-to-Have Qualifications:

• DoD CUI marking and handling hands-on experience
• Prior federal AI/ML program documentation
• Annotation platform or data governance documentation background
• Familiarity with Databricks, CVAT, or ML orchestration tooling

The expected hourly salary range for this position is $45 to $50 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

Candidates should be prepared to discuss their approach to absorbing technical content quickly and producing publication-ready documentation on a steady cadence rather than under last-minute pressure.