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Ai Alignment Jobs in Springfield, VA (NOW HIRING)

QualX Corporation

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Ensure AI/ML solutions align with and implement relevant DoD policies, rules, and regulations (e.g., RMF, DoDI 5015.02 for records management, DoD AI Ethical Principles, NARA and OMB guidance)

Bechtel

AI Training Manager

Reston, VA

$140K - $203K/yr

Develop, implement, and manage an AI competency framework, keeping content and progression aligned ... with the organizational Job Architecture framework. * Lead, develop, and collaborate with a team of ...

Zayo Group, LLC

Head of AI - Platform AI

Ashburn, VA · On-site

$215K - $245K/yr

Develop and execute a comprehensive AI roadmap aligned with business objectives. * Lead the research and implementation of large-scale AI models (e.g., LLMs, Vision Transformers) and automation ...

ECS

AI Program Analyst

Washington, DC · On-site

$125K - $150K/yr

Identifying and prioritizing high-value AI applications aligned with organizational objectives; * Developing an AI governance framework, policies, standards and operating procedures for responsible ...

Booz Allen Hamilton

AI Engineer

Mclean, VA · On-site

As an AI / ML Engineer, you recognize that enterprise-grade AI requires thoughtful design ... Ability to align stakeholders, clarify requirements, and reduce rework * Ability to obtain and ...

Booz Allen Hamilton

AI Engineer

Mclean, VA

$77K - $176K/yr

As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design ... Ability to align stakeholders, clarify requirements, and reduce rework * Ability to obtain and ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design ... Ability to align stakeholders, clarify requirements, and reduce rework * Ability to obtain and ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design ... Ability to align stakeholders, clarify requirements, and reduce rework * Ability to obtain and ...

PingWind

AI/ML Engineer

Alexandria, VA

$104K - $145K/yr

Oversees integration of AI/ML outputs into interactive, data-driven dashboards, ensuring insights are explainable, actionable, and aligned with Government objectives. Establishes data preparation ...

PingWind

AI/ML Engineer

Alexandria, VA · On-site

$104K - $145K/yr

... and aligned with Government objectives. • Establishes data preparation, feature engineering ... AI/ML solutions. • Guides the incorporation of AI/ML capabilities into Agile workflows ...

NPR

Lead AI Solutions Engineer, AI Labs

Washington, DC · Hybrid

$187K - $208K/yr

This role involves hands-on work in integrating AI products into core NPR systems, ensuring solutions are scalable, align with ethical guidelines, and are built upon industry best practices. This is ...

AHU Technologies, Inc.

AI Builder

Washington, DC · On-site

$140K - $300K/yr

Background in reinforcement learning, applied ML, model alignment, or AI workflow automation. * Experience working across customers, engineering teams, and product teams. Compensation: $140,000.00 ...

New

Transunion

AI Governance Analyst

Reston, VA

$86K - $102K/yr

The role is responsible for coordinating AI risk assessments, maintaining visibility into AI use cases, and ensuring alignment with governance frameworks, privacy expectations, and emerging ...

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Showing results 1-20

All JobsAi Alignment JobsAi Alignment Jobs in Springfield, VA

Ai Alignment information

See Springfield, VA salary details

$93.5K

$104.5K

$113.3K

How much do ai alignment jobs pay per year?

As of Jul 13, 2026, the average yearly pay for ai alignment in Springfield, VA is $104,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $109,700.00 per year, depending on experience, location, and employer.

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.

How to become an AI alignment researcher?

To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering this specialized field.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI Alignment Specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

Which 3 jobs will survive AI?

AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.

What is an AI alignment?

AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
What job categories do people searching Ai Alignment jobs in Springfield, VA look for? The top searched job categories for Ai Alignment jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Ai Alignment jobs? Cities near Springfield, VA with the most Ai Alignment job openings:
Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Springfield, VA as of July 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $104,452 per year, or $50.2 per hour.
AI Red Team Cybersecurity (SME) - Remote

AI Red Team Cybersecurity (SME) - Remote

micro1 AI

Washington, DC • Remote

$50 - $90/hr

Part-time

Posted 14 days ago

Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.

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