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Ai Alignment Jobs (NOW HIRING)

Traversal

AI Researcher

New York, NY · On-site

$160K - $300K/yr

Training & Alignment: Apply fine-tuning, reinforcement learning, and reward modeling techniques to align AI behavior with real-world SRE workflows. * Synthetic Data & Experimentation: Design ...

Accenture

GCP Sales Engineer - Data & AI

New York, NY · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

AWS Sales Engineer - Data & AI

New York, NY · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Fujitsu

Research Intern, AI Security

Pittsburgh, PA · On-site

$45 - $66/hr

This position provides an opportunity to solve problems on safety, privacy, and AI alignment in LLM-based multi-agent systems. We value individuals with vision to pick up new knowledge, see through ...

Accenture

GCP Sales Engineer - Data & AI

Kirkland, WA · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

GCP Sales Engineer - Data & AI

Los Angeles, CA · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

GCP Sales Engineer - Data & AI

Walnut Creek, CA · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

GCP Sales Engineer - Data & AI

San Francisco, CA · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

GCP Sales Engineer - Data & AI

Oklahoma City, OK · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

GCP Sales Engineer - Data & AI

San Diego, CA · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

Accenture

AWS Sales Engineer - Data & AI

San Francisco, CA · On-site

$163K - $369K/yr

Define 12-24 monthroadmap aligned to Cloud First priorities. * Identifyrepeatable, scalable solution patterns. * Define monetization model (accelerator, managed service, AI-as-a-Service). Technical ...

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All JobsAi Alignment Jobs

Ai Alignment information

See salary details

$89.5K

$100K

$108.5K

How much do ai alignment jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai alignment in the United States is $99,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $105,000.00 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 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.
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Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in the United States as of June 2026, with employment types broken down into 37% Full Time, 13% Part Time, 13% Temporary, and 37% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $99,999 per year, or $48.1 per hour.
Research Assistant (Maoz - 3mo)

Research Assistant (Maoz - 3mo)

Chapman University

Orange, CA • On-site

$18 - $20/hr

Full-time, Part-time

Posted 8 days ago

Chapman University rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

284th of 535 rated colleges and universities

Job description

Posting Details
Position Information
Position Title
Research Assistant (Maoz - 3mo)
Position Type
Limited-Term
Job Number
SA81224
Full or Part Time
part-time 0-19 hours weekly
Fair Labor Standard Act Classification
Non-Exempt
Anticipated Pay Range
$18.00 - $20.00
Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
Under the direction and supervision of the Principal Investigator, the Research Assistant will provide research support to ongoing projects and grants related to mechanistic interpretability of large language models and its connections to neuroscience. Responsibilities include construction of datasets required to study language models and implementation of novel methodologies for parsing the internals of AI systems. The Research Assistant will also conduct literature reviews on AI alignment, explainability, and safety. Additional responsibilities include interacting with high performance compute resources to produce benchmarks for proposed methodologies. This position also involves collaborative software development and research documentation; possibly assisting with preparation of presentations, grant materials, and academic manuscripts; and supporting collaborative research activities within an interdisciplinary team.
Responsibilities
Research Activities
  • Independently perform research-related activities supporting projects in mechanistic interpretability of large language models.
  • Assist with implementation of algorithms related to AI explainability.
  • Interact with compute resources to validate and iterate upon proposed methodologies.
  • Analyze advanced AI systems with respect to intentions, deception, alignment faking, and related phenomena.
  • Conduct literature reviews and synthesize findings relevant to AI alignment, explainability, and safety.

Research Documentation and Dissemination
  • Construct technical documentation for software and proposed machine learning methods.
  • Utilize source control software for collaboration and reproducibility of research work.
  • Assist with preparing presentations, research reports, grant materials, and academic manuscripts when needed.
  • Compile and organize research findings for internal and external dissemination.
  • Collaborate with interdisciplinary team members to support ongoing research initiatives.

Required Qualifications
  • Baseline proficiency with concepts surrounding neural networks and large language models.
  • Minimal level of prior research experience, including knowledge of research methods and terminology
  • Analytical skills including the ability to define problems through research and fact finding
  • Ability to communicate clearly and effectively both verbally and in writing
  • Ability to work collaboratively as a supportive member of an interdisciplinary research team
  • Ability to work independently and manage research tasks with minimal supervision

Desired Qualifications
  • High School Diploma or GED and/or equivalent combination of education and work experience in machine learning, mathematics, computer science, psychology, neuroscience, or related fields
  • Working knowledge of LaTeX for typesetting technical documentation and academic manuscripts
  • Experience using PyTorch and NumPy to implement AI systems
  • Experience with source control software for collaborative software development
  • Prior work or research experience in mechanistic interpretability of large language models

Special Instructions to Applicants
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis.
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
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