Scale AI

Strategic Projects Lead, Public Sector - Cyber

Scale AI$139K — $174K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Active Top Secret security clearance
  • 2-3 years in product development, data science, or operations
  • Proven project management skills and comfort with ambiguity
  • Capability to analyze operational data and identify trends
  • Technical aptitude for advanced data production in AI contexts

Responsibilities

  • Develop and maintain efficient operations infrastructure for data labeling
  • Oversee daily progress on high-priority data production pipelines
  • Collaborate with ML and Go-to-Market teams to ensure engagements are well-defined
  • Drive cross-org collaboration for human data strategy development
  • Manage program financial health by overseeing project-level costs
  • Engage with subject matter experts to enhance data quality and processes
  • Work directly with clients to create optimized data taxonomies
  • Utilize analytics to monitor pipeline performance and optimize processes

Benefits

  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend
Full Job Description
Scale AI's Public Sector team is growing in the Generative AI, Public Sector space, and we're seeking a Strategic Projects lead to lead high-impact projects that drive revenue and experimentation. In this role, you'll work across operations, engineering, customer engagement, and directly with our clients to produce world-class test and evaluation and training data for Large Language Models for our Public Sector customers.

This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will build human data labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of both our training and evaluation datasets. You will also own the financial and technical viability of your programs by managing project COGS and partnering with Go-to-Market teams to scope customer engagements through taxonomy design and feasibility validation, ensuring deals are scalable, executable, and economically sound. In addition, you will partner directly with our internal machine learning experts and external stakeholders to ensure our data enables the development of mission-critical applications of AI.

Help shape the future of AI by joining a fast-growing team built on exceptional data, tools, and systems.

You Will:
  • Develop, build, and maintain the operations infrastructure required to ensure data labeling pipelines are efficient, scalable, and produce high-quality outputs
  • Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
  • Partner with our Machine Learning and Go-to-Market teams to scope customer engagements via taxonomy design and technical feasibility validation to ensure deals are scalable and executable.
  • Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage.
  • Own the financial health of programs by managing project-level COGS through workforce planning, tooling decisions, and process optimization.
  • Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
  • Work closely with customers to understand their requirements and design data taxonomies that optimize model performance.
  • Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
  • Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines


You have:
An active Top Secret security clearance
  • 2-3 years of experience in product development, data science, or operations
  • A history of successful project management and comfort in ambiguity
  • Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
  • Technical aptitudeto understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc


Nice to have:
  • Experience working in defense tech and/or an AI company
  • A technical degree in fields like computer science, data science, or engineering
  • A deep understanding of ML operations for generative AI workflows / products


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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 Washington DC is:

$139,200-$174,000 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 Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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