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Ai Review Jobs (NOW HIRING)

The E Group

Engineer 1 (entry level)

Birmingham, AL · On-site

$30 - $40/hr

... AI review and recommendations for maintenance strategy. * Input PMCR recommendations into Maximo per procedural guidance and recommendations provided in SCVR reports. * Review and provide ...

MSD

Assoc. Dir , Technical Product Management

North Wales, PA · On-site

$161K - $186K/yr

The Associate Director will act as the primary product leader for AI review capability, partnering with Brand, Commercial, MLR, Legal, AI, Engineering, and Platform teams. Key Responsibilities ...

RYZ Labs

VP of Software Development & IT

Menands, NY · Hybrid

AI-assisted coding, automated testing, AI-driven code review, and agentic workflows so the team ships faster, with higher quality, and with leverage no traditional dev org has. This is not optional ...

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All JobsAi Review Jobs

Ai Review information

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.

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 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.
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Ai Review jobs near you
AI Code Review Engineer

AI Code Review Engineer

Gridiron IT Solutions LLC

Reston, VA • Remote

$85K - $120K/yr

Contractor

Medical, Dental, Vision

Posted 11 days ago

Job description

AI Code Review Engineer (AI/ML + Secure Code Analysis)

Location: Remote

Overview

We are seeking an AI Code Review Engineer to evaluate, audit, and improve AI-generated and human-written code across modern software environments. This role sits at the intersection of software engineering, AI/ML, and secure development, ensuring code quality, performance, and compliance with best practices.

·        You will work closely with developers, DevSecOps teams, and AI platforms to analyze outputs from tools such as GitHub Copilot, ChatGPT, and other LLM-based coding systems, ensuring safe, efficient, and production-ready code.

Key Responsibilities

·        Review and validate AI-generated code for correctness, efficiency, and maintainability

·        Perform manual and automated code reviews across multiple languages (Python, Java, JavaScript, etc.)

·        Identify and remediate security vulnerabilities (OWASP Top 10, SAST/DAST findings)

·        Evaluate AI outputs for:

o   Logic errors

o   Hallucinated dependencies or APIs

o   Inefficient or non-scalable patterns

·        Partner with engineering teams to establish AI coding standards and governance frameworks

·        Develop and maintain code review guidelines specific to AI-assisted development

·        Implement or integrate tools for:

o   Static code analysis (SonarQube, Checkmarx, etc.)

o   AI code validation and linting

·        Provide feedback loops to improve AI model outputs and prompt engineering strategies

·        Support DevSecOps pipelines by embedding automated code quality and security checks

Required Qualifications

·        5+ years of experience in software engineering or code review roles

·        Strong proficiency in at least one major language:

·        Python, Java, JavaScript/TypeScript, or C++

·        Experience with code review processes (GitHub, GitLab, Bitbucket)

·        Knowledge of secure coding practices and application security principles

·        Familiarity with AI/ML tools used in development (e.g., GitHub Copilot, OpenAI APIs, LLMs)

·        Experience with static/dynamic code analysis tools

·        Understanding of software design patterns and scalable architectures

Preferred Qualifications

·        Experience reviewing or validating AI-generated code outputs

·        Background in machine learning or prompt engineering

·        Knowledge of DevSecOps pipelines and CI/CD tools (Jenkins, Azure DevOps, GitHub Actions)

·        Experience with cloud environments (AWS, Azure, GCP)

·        Familiarity with policy/governance frameworks for AI usage

·        Experience in regulated or secure environments (DoD, FedGov, finance, healthcare)

Compensation and Benefits

Salary Range: $85,000 - $120,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.)

Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs.

Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.

Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.