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Ai Alignment Jobs in Texas (NOW HIRING)

This role is accountable for globally consistent delivery, strong governance and controls, and modernizing the GA operating model through digitization and AI-aligned ways of working (e.g., Copilot ...

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Ai Alignment information

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 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.

What cities in Texas are hiring for Ai Alignment jobs?

Cities in Texas with the most Ai Alignment job openings:

Infographic showing various Ai Alignment job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Defense AI Alignment Specialist - Remote

micro1 AI

El Paso, TX • Remote

$50 - $90/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role Title: Military Operations & IHL Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Military Operations & IHL Experts to contribute to a prominent defense-policy and humanitarian-law 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. You will leverage your deep understanding of warfighting, weapons targeting, defense operations, and international humanitarian law to support the development of frameworks that responsibly evaluate military and humanitarian scenarios. This is a unique opportunity to influence technology at the intersection of operational expertise and conflict ethics while working alongside other experts at the forefront of these domains.


Scope of Work

  1. Develop comprehensive taxonomies for military-use and defense operations within diverse conflict contexts.
  2. Create dual-use triage frameworks that help distinguish between military and civilian applications of technology and knowledge.
  3. Establish clear boundaries for prohibited assistance under international humanitarian law, providing structured input for AI training and evaluation.
  4. Design conflict-risk rubrics and scenario-based evaluation tools to assess operational and ethical implications of defense activities.
  5. Evaluate and refine policy-relevant benchmarks to ensure responsible testing of AI models in defense and humanitarian contexts.
  6. Contribute written and verbal analyses articulating complex warfighting, targeting, and IHL concepts for interdisciplinary audiences.


Preferred Qualifications

  1. 5+ years of relevant military, defense analysis, or IHL experience; ideally 8–20 years for senior contributors.
  2. Advanced degree (e.g., MA, LLM, PhD) or equivalent operational experience in military science, security studies, international law, or related fields.
  3. High credibility and established track record in warfighting, operational planning, targeting law, or humanitarian law application.
  4. Expertise in interpreting and applying conflict ethics, IHL, and defense policy frameworks in real-world scenarios.
  5. Exceptional written and verbal communication skills, with the ability to convey technical and ethical concepts clearly and concisely.
  6. Experience in research, policy analysis, or advisory roles within military, governmental, legal, or think-tank environments.
  7. Prior involvement with conflict analysis, war-crimes investigation, or weapons-policy development is a strong plus.