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Ai Alignment Jobs in Rhode Island (NOW HIRING)

FM

Lead AI Security Engineer

Johnston, RI · On-site

$121K/yr

Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and ...

FM

Lead AI Security Engineer

Johnston, RI · On-site

$121K - $173K/yr

Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and ...

FM

Lead AI Security Engineer

Johnston, RI

Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and ...

FM

Lead AI Security Engineer

Johnston, RI · On-site

Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and ...

FM

Lead AI Security Engineer

Johnston, RI · On-site

Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and ...

FM

Lead AI Security Engineer

Johnston, RI · On-site

Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and ...

micro1 AI

Director of Biostatistics

Providence, RI · Remote

$60 - $100/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific ...

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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 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.

What are popular job titles related to Ai Alignment jobs in Rhode Island?

For Ai Alignment jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Ai Alignment jobs in Rhode Island look for?

The top searched job categories for Ai Alignment jobs in Rhode Island are:

What cities in Rhode Island are hiring for Ai Alignment jobs?

Cities in Rhode Island with the most Ai Alignment job openings:

Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Rhode Island as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution.

Postdoctoral Research Associate in Civic Science and AI-Human Interaction

Brown University

Providence, RI • On-site

Full-time

Re-posted 10 days ago

Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Description
The Data Science Institute at Brown University invites applications for an 18-month Postdoctoral Research Associate position in civic science and AI-human interaction beginning in Fall 2026. The successful candidate will be hosted by ARIA (the NSF AI Research Institute on Interaction with AI Assistants), a $20M federally-funded institute dedicated to the joint scientific study of AI and human cognition, with a focus on mental and behavioral health. The Fellow will bridge foundational research in computational brain science with public engagement and community impact, and will straddle the Carney Institute for Brain Science's Center for Computational Brain Science and the Data Science Institutes' Center for Technological Responsibility, Reimagination, and Redesign. Collaborations with the School of Public Health and/or Rhode Island Hospital will also be encouraged. The position is part of the Rita Allen Foundation's Civic Science Fellows program, and the Fellow will participate in that program's broader cohort of civic scientists in addition to conducting independent research.
For this position, Brown offers only the J-1 visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Qualifications
We seek applicants with a doctoral degree in a relevant field, which may include cognitive science, neuroscience, computer science, public health, science and technology studies, or a related discipline. Strong candidates will have demonstrated experience working across disciplinary boundaries and an interest in both rigorous empirical research and meaningful community engagement. The Fellow will be expected to develop and lead a self-directed research project connecting at least one of ARIA's core scientific workstreams - cognitively-inspired AI, trustworthy human-AI interaction, or AI alignment - with ARIA's participatory design workstream. Example project directions include but are not limited to: empirical study of the neurological, cognitive, or developmental effects of AI companionship; community-informed computational psychiatry (e.g., participatory research around AI tools for managing mental and behavioral health disorders); or psychologically-informed methods for AI models and interfaces.
The Fellow will be expected to work with multiple co-mentors spanning different fields and methodological traditions, to engage regularly with ARIA's research team, and to contribute to the organization of workshops, roundtables, and public engagement events. Deliverables will include peer-reviewed publications, public-facing reports or whitepapers, and presentations to both scientific and non-scientific audiences. The Fellow will join a vibrant interdisciplinary community of researchers across 11 institutions including Brown, Carnegie Mellon, Berkeley, Princeton, NYU, and the Santa Fe Institute.
Application Instructions
To receive full consideration, the following materials should be submitted by noon EDT on Aug 17, 2026 to the application portal:
  1. A cover letter stating the applicant's academic field, status of their dissertation, and proposed research to be conducted during their fellowship period. The cover letter should not exceed 2,000 words and should make clear how the candidate will thrive in and contribute to ARIA's environment. Candidates should also address how they would contribute to the research and/or teaching missions of our diverse and inclusive university community.
  2. An up-to-date curriculum vitae
  3. A copy of each graduate transcript
  4. A writing sample, preferably an article or dissertation chapter
  5. Three confidential letters of recommendation from scholars familiar with the applicant's research.

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