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Ai Review Jobs (NOW HIRING)

Conduct data analysis and employ TAR and generative AI to improve review efficiency and accuracy. * Lead ECA process using proprietary methodologies to isolate key documents and reduce hosting costs.

Conduct data analysis and employ TAR and generative AI to improve review efficiency and accuracy. * Lead ECA process using proprietary methodologies to isolate key documents and reduce hosting costs.

Sr. AI Counsel

Palo Alto, CA · On-site

$160 - $266.60/hr

Coordinate our review processes for use of generative AI and other advanced AI technologies * Educate our employees on AI issues * Improve our AI review processes to make them more effective ...

Enterprise security, data privacy or responsible-AI review processes How we work: * A small team that moves quickly inside a very large organisation, where the fastest route is rarely the obvious one

New

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams. * Facilitate the preparation of all required ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Manager, Contracts & Conflicts

$91K - $121K/yr

This role will be responsible for managing contract workflows, conducting first-level contract reviews, leveraging AI-enabled review tools, and ensuring agreements are efficiently routed through the ...

Contribute to governance forums (e.g., AI review boards) with deep technical insight and independent perspective. 6. Responsible AI & Risk Alignment * Partner with governance and risk functions to ...

Lead enterprise AI governance processes, including AI intake, review, approval, monitoring, and lifecycle management. * Define and maintain AI risk management frameworks, controls, and governance ...

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Ai Review information

What is an AI reviewer?

An AI Reviewer is a professional who evaluates, tests, and assesses artificial intelligence systems, models, or tools. Their role often involves reviewing the performance, accuracy, fairness, and ethical implications of AI solutions in various contexts. AI Reviewers may work in research, compliance, product development, or quality assurance to ensure that AI technologies are reliable, unbiased, and meet industry standards. They collaborate with data scientists, engineers, and stakeholders to provide feedback and recommendations for improvement. This role is crucial for maintaining trust and safety in AI applications.

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

To thrive as an AI Reviewer, you need a strong background in data analysis, machine learning concepts, and quality assurance, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, SQL databases, and annotation platforms, as well as relevant certifications like AI ethics or data science, is typically required. Critical thinking, attention to detail, and clear communication are crucial soft skills for evaluating AI outputs and collaborating with development teams. These competencies ensure that AI systems are accurate, ethical, and reliable for real-world applications.

What are some common challenges faced by professionals in AI review roles, and how can they be addressed?

Professionals in AI review roles often encounter challenges such as staying updated with rapidly evolving AI technologies, ensuring the accuracy and fairness of AI outputs, and managing large volumes of data for review. These challenges can be addressed by participating in ongoing training, collaborating closely with data scientists and engineers, and utilizing robust documentation and quality assurance processes. Regular communication with cross-functional teams also helps in quickly identifying and resolving issues, ensuring that AI systems remain reliable and compliant with organizational standards.

What is the difference between Ai Review vs Content Moderator?

AspectAi ReviewContent Moderator
Required CredentialsBasic understanding of AI tools, data analysisModeration skills, understanding of community guidelines
Work EnvironmentTypically office or remote, working with AI systems and dataOnline platforms, social media, or community sites
Employer & Industry UsageTech companies, AI service providersSocial media platforms, online marketplaces
Search & Comparison IntentUnderstanding AI review processes, roles involving AIMonitoring and managing user-generated content

Ai Review roles focus on evaluating AI-generated content and ensuring AI systems function correctly, often requiring familiarity with AI tools. Content Moderators handle user content to enforce community standards, requiring moderation skills. While both roles involve content assessment, Ai Review emphasizes AI system evaluation, whereas Content Moderators focus on user interactions.

How do I become an AI reviewer?

To become an AI reviewer, you typically need a background in computer science, data analysis, or related fields, along with strong critical thinking and language skills. Experience with machine learning tools, data annotation, or content moderation can be beneficial, and familiarity with AI models and ethical considerations is often required. Some roles may require certification or training in AI or data labeling platforms.
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What cities are hiring for Ai Review jobs?

Cities with the most Ai Review job openings:

What states have the most Ai Review jobs?

States with the most job openings for Ai Review jobs include:

Infographic showing various Ai Review job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Software Development Engineer, Workplace Trust: Privacy, AI, and Risk

Amazon

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,115 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Come build the future of privacy and responsible AI with us! To get there, we need exceptionally talented, bright, and driven people. We work in a fast-paced environment across multiple industries, never losing our passion for customers.
As an Software Development Engineer (SDE) on the Workplace Trust Privacy and Responsible AI Review team, you will play a crucial role in building tooling to enhance compliance across Amazon's global employee, candidate, and contingent worker populations. Your focus will be designing and developing innovative Agentic AI solutions to automate compliance at scale. You'll work closely with stakeholders to align our processes and framework with global regulation requirements while maintaining high standards for privacy and AI compliance.
In this role, you'll collaborate daily with privacy and AI reviewers, builders, and legal stakeholders to understand their workflows and challenges. A typical day might involve analyzing process data to identify bottlenecks, developing and testing Agentic AI-powered solutions to automate tasks as part of privacy or responsible AI reviews. You'll participate in agile team meetings to discuss progress and priorities, review code with teammates, and continuously iterate to improve the performance of implemented solutions. Regular tasks include troubleshooting technical issues, updating documentation, and providing guidance to team members on new AI tools. You'll also spend time staying current with emerging regulations and AI developments, ensuring our tools remain compliant and effective.
The successful candidate leverages their background in compliance, engineering, data protection, data science, human resources, data governance, and/or data modelling to implement automation across the internal technology ecosystem.
Key job responsibilities
- Identify and analyze pain points in existing privacy and AI review processes
- Design and develop Agentic AI tools to streamline and enhance team operations
- Maintain high standards for global privacy and AI compliance
- Work with a dynamic team to implement solutions in a fast-paced environment
- Develop audit reports, metrics, and reporting mechanisms
- Define technical requirements and specifications aligned with business needs
- Develop deep knowledge of employee privacy and responsible AI obligations and data privacy processes
- Consult on the development of business requirements for new system and model implementations
- Draft written narratives to communicate development initiatives
- Implement automation across the internal technology ecosystem
- Monitor and evaluate the performance of AI solutions
- Stay current with emerging regulations and AI developments
- Provide technical guidance and support to team members
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 143,700.00 - 194,400.00 USD annually

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US