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Ai Alignment Jobs (NOW HIRING)

Alinia AI

Applied AI Research Intern

At Alinia, our Applied AI Research Interns play a pivotal role in exploring new possibilities and capabilities for Alinia's Alignment Platform. This role demands a scientific mindset, a technical ...

Hirevouch

Applied Research Engineer

San Francisco, CA · On-site +1

Advance the field of AI alignment by developing cutting-edge methods, such as RLHF and novel approaches, that ensure AI systems reflect human preferences more accurately. * Improve the quality of ...

AE Studio

General Counsel

Los Angeles, CA · On-site +1

We're running a DARPA seedling on alignment and control, our policy team engages directly with the government on AI alignment, and our work has been featured many times in the Wall Street Journal. We ...

Aisafety

Community Manager (Berkeley)

Berkeley, CA · On-site

$60 - $80/hr

Since 2021, we have trained over 630 researchers. 75% of pre-2026 fellows continue to work in AI alignment. 10% have co-founded organizations. Our fellows have produced 215+ research papers with 17 ...

HRB

Applied Research Engineer

San Francisco, CA · On-site

Advance the field of AI alignment by developing cutting-edge methods, such as RLHF and novel approaches, that ensure AI systems reflect human preferences more accurately. * Improve the quality of ...

Xterraai

AI Research Scientist

San Francisco, CA · On-site

Contributing to alignment and oversight research - figuring out how to reliably supervise models on ... or AI alignment techniques. * Publication record is a plus but not a strict requirement, we care ...

AE Studio

General Counsel (Los Angeles)

Los Angeles, CA · On-site

$225K - $300K/yr

We're running a DARPA seedling on alignment and control, our policy team engages directly with the government on AI alignment, and our work has been featured many times in the Wall Street Journal. We ...

L'Oreal

AVP, Head of AI Solutions

New York, NY · On-site

$171K - $215K/yr

Global-Local AI Alignment & Acceleration: Adapt and lead the regional AI strategy, ensuring global alignment while addressing zonal specificities. Drive the "Tech Accelerator" aspect by fostering ...

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 ...

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Ai Alignment information

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How much do ai alignment jobs pay per year?

As of Sep 9, 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 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 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.

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Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $99,999 per year, or $48.1 per hour.

Applied AI Scientist, Small Language Model and AI Training

San Francisco, CA • On-site

Postman
Software Development • 501 - 1,000 employees
Learn more about Postmanexternal

$218K - $288K/yr

Full-time

Re-posted 4 days ago

Job description

The Opportunity

As an Applied Scientist specializing in Small Language Models and AI Training, you will lead research and development efforts focused on building efficient, high-performance language models tailored for practical applications. You will work closely with research, engineering, and product teams to advance model training techniques, optimize architectures, and scale AI solutions. Your work will directly contribute to AI systems that are safe, interpretable, and impactful across diverse usage scenarios.

What You'll Do

  • Lead research and development of novel training methodologies and architectures for small and efficient language models.

  • Design, implement, and evaluate model training experiments to improve performance, robustness, and generalization of language models.

  • Collaborate closely with research scientists and engineers on scalable training pipelines and model deployment strategies.

  • Develop techniques for model compression, fine-tuning, and domain adaptation to optimize models for real-world applications.

  • Ensure AI safety, fairness, and alignment principles are integrated into model training processes and evaluated rigorously.

  • Mentor and support cross-functional teams on applied machine learning methods and best practices.

  • Evaluate and integrate new tools, frameworks, and datasets to accelerate AI training workflows.

  • Partner with product teams to translate model capabilities into actionable features aligned with user needs and ethical standards.

About You

  • Have demonstrated experience in applied research or engineering roles focused on training language models, ideally small or efficient models.

  • Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.

  • Deep understanding of language model architectures, training techniques, and optimization strategies.

  • Experience with distributed training, data pipeline design, and scalable AI infrastructure.

  • Passion for AI safety, interpretability, and delivering user-centered AI technology.

  • Excellent communication skills with proven ability to collaborate across research, engineering, and product teams.

Preferred

  • Prior experience working with large and small language models in production or research settings.

  • Background in reinforcement learning, prompt engineering, or transfer learning techniques.

  • Experience with developer tools, APIs, or frameworks related to AI model integration and delivery.

  • Knowledge of AI alignment, fairness, and ethical AI training methodologies.

The reasonably estimated base salary for this role ranges from $218,500.00 to $288,000.00, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. 

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