Military Writing Specialist

Posted 11 Days Ago
Be an Early Applicant
St Louis, MO
26-26 Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
As a Military Writing Specialist, you will enhance AI models by crafting and assessing military-related written content. Your primary tasks involve producing questions, evaluating AI-generated text, and integrating feedback. This role requires a strong understanding of military writing and the ability to work in a dynamic environment.
Summary Generated by Built In

Military Writing Specialist

Are you interested in teaching next-gen AI models to write about defense-related topics? 

About the Opportunity: 

Scale's public sector business is growing rapidly, with significant growth powered by customer demand for Donovan, Scale’s AI LLM platform for defense. At Scale, when it comes to performant large language models (LLMs) designed for defense, we know that domain specialists power these AI tools. As a Military Writing Specialist, you will be responsible for producing and grading written content that will train AI models for government use cases

This is an exciting opportunity to help shape the future of AI-powered writing for the U.S. government!

Responsibilities:

  • Train AI models by crafting and answering questions related to intelligence, operations, logistics, or other similar military disciplines and domains 
  • Leverage your domain expertise to evaluate and critique corpora of text produced and written by AI systems
  • Attend regular training sessions for upskilling and quality alignment on writing projects
  • Integrate feedback from expert instructors into your written work

Minimum qualifications:

  • 5 years minimum experience in military occupation specialties related to planning, logistics, or intelligence
  • Experience writing professionally using military and formal Department of Defense writing styles 
  • Ability to work 20-40 hours per week
  • Resume submission detailing your military experience 

Compensation, Duration, and Benefits:

  • Compensation: $26/hour based on experience and qualifications
  • 6-month contract (possibility to renew) 
  • Remote or Hybrid Office Schedule, depending on performance 

Interview Process

The interview process for this role will consist of 5 steps: 

  • (1) Submission of your resume and writing samples
  • (2) Phone screen with a recruiter/hiring manager  
  • (3) Submission of a take-home assessment 
  • (4) Behavioral and Quality interviews 
  • (5) Outcome 


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of St. Louis is:

$26$26 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

The Company
San Francisco, CA
523 Employees
On-site Workplace
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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