Federal Staff Reporting Analyst - Remote

YO AI Labs - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Federal-Reporting, Staff-Analyst, Report-Analyst, Military-Writing-Analyst
Tech
remote-countrydatastaff
Source
himalayas
First observed
2026-11-06 22:58 UTC
Last seen
2026-11-06 22:58 UTC
Source claims posted
2026-11-06 22:55 UTC
Consecutive misses
2 of 10

What the posting says

Role Title: Federal Staff Reporting Analyst

Role Type: Contractor

Location: Remote, United States Only

We are seeking experienced Federal Staff Reporting Analysts to support an AI training project focused on federal documentation, military writing, and report evaluation. Candidates will use their expertise to create, review, and assess official-style reports while helping improve AI-generated documentation. No prior AI experience is required.

Key Responsibilities

Create and refine Weekly Action Reports (WARs), Situation Reports (SITREPs), after-action reports, and executive briefings.

Review written content for clarity, accuracy, compliance, and federal reporting standards.

Evaluate sample submissions using established grading guidelines.

Develop reference documents and evaluation rubrics for AI training.

Provide expert feedback on reporting methods and documentation requirements.

Collaborate with project teams to maintain quality and consistency.

Required Qualifications

At least 3 years of federal reporting or staff writing experience within the U.S. Department of Defense or military.

Experience preparing official reports, executive summaries, and staff documentation.

Strong knowledge of federal documentation standards and DoD procedures.

Excellent written and verbal communication skills.

Experience with Microsoft Word, Excel, and PowerPoint.

Strong attention to detail and compliance best practices.

Must be based in the United States with experience handling confidential documentation appropriately.

Originally posted on Himalayas

Quality

Completeness: 65%
Honesty: 100%

Based on 3 observation(s).

Timeline

  1. *
    #1787092 2026-11-06 22:58 UTC
    Published
  2. o
    #1788561 2026-11-07 00:58 UTC
    Not seen
    Miss 1 in a row
  3. o
    #1790866 2026-11-07 02:58 UTC
    Not seen
    Miss 2 in a row