1

Ai Content Reviewer Jobs in Indiana (NOW HIRING)

Preparation of results, insights, and action recommendations for business reviews, management ... High openness to AI tools, new technologies, and innovative ways of working YOUR JOURNEY WITH US ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

Direct experience reviewing or validating AI or technology-driven tax content. * Background in training teams or giving written feedback on legal/tax language. * Interest in the intersection of ...

$118K - $194K/yr

... practical AI use cases that improve content effectiveness and governance. Content Governance & Standards * Establish and enforce governance frameworks for content creation, review, approval ...

next page

Showing results 1-20

Ai Content Reviewer information

What is an AI content reviewer?

AI Content Reviewers are professionals who evaluate and moderate content generated by artificial intelligence systems to ensure it meets quality, ethical, and compliance standards. They review text, images, or other media for accuracy, appropriateness, and adherence to guidelines set by organizations or platforms. Their role is crucial in preventing the spread of misinformation, harmful content, or bias that may be inadvertently produced by AI models. AI Content Reviewers often collaborate with engineers and policy teams to improve AI algorithms and content moderation processes. This job is increasingly important as AI-generated content becomes more widespread across digital platforms.

What are the key skills and qualifications needed to thrive as an AI content reviewer?

To thrive as an AI Content Reviewer, you need a keen eye for detail, strong analytical skills, and familiarity with content moderation guidelines, often supported by a relevant degree or experience. Experience with content management systems, AI moderation tools, and workflow platforms is typically required. Excellent judgment, adaptability, and effective communication are crucial soft skills for handling sensitive content and collaborating with cross-functional teams. These skills are vital to ensure accurate, compliant, and efficient content review processes that maintain platform integrity and user safety.

What are some common challenges faced by AI content reviewers and how can they be effectively managed?

AI Content Reviewers often encounter challenges such as reviewing large volumes of content under tight deadlines and dealing with ambiguous or borderline cases that require careful judgment. Staying updated on evolving content guidelines and maintaining objectivity can also be demanding, especially when reviewing sensitive or nuanced material. Effective management of these challenges typically involves strong time management skills, continuous training on policy updates, and regular collaboration with team leads and policy experts to clarify gray areas and ensure consistency in content decisions.

What is the difference between Ai Content Reviewer vs Content Moderator?

AspectAi Content ReviewerContent Moderator
Required CredentialsBasic understanding of AI tools, content policiesKnowledge of community guidelines, communication skills
Work EnvironmentRemote or office-based, focused on AI-generated contentRemote or on-site, monitoring user-generated content
Employer & Industry UsageTech companies, social media platforms, AI firmsSocial media, online forums, gaming platforms
Comparison Search IntentUnderstanding roles related to AI content reviewUnderstanding roles related to content moderation

While both roles involve reviewing online content, Ai Content Reviewers primarily focus on assessing AI-generated content for accuracy and compliance, often using specialized tools. Content Moderators handle user-generated content, ensuring community guidelines are followed. The roles overlap in content evaluation but differ in scope, tools, and work environment.

What are popular job titles related to Ai Content Reviewer jobs in Indiana?

For Ai Content Reviewer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Content Reviewer jobs in Indiana look for?

The top searched job categories for Ai Content Reviewer jobs in Indiana are:

What cities in Indiana are hiring for Ai Content Reviewer jobs?

Cities in Indiana with the most Ai Content Reviewer job openings:

Infographic showing various Ai Content Reviewer job openings in Indiana as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 66% In-person, and 34% Remote job distribution.

Senior Software Engineer, Full-Stack

Indianapolis, IN

Full-time

Posted 2 days ago

New


Job description

About Markup AI

Markup AI is pioneering the AI content governance category with the industry's first Content Guardian Agents™—AI-powered agents that automatically scan, score, and rewrite content to ensure it meets brand, compliance, terminology, and quality standards before it goes live. Purpose-built for AI-first marketing and content teams, Markup AI integrates directly into LLMs, CMS platforms, and enterprise workflows through its API- and MCP-first architecture, giving organizations the confidence to scale AI-generated content without sacrificing quality, consistency, or trust. Backed by decades of expertise in enterprise content governance, Markup AI is helping leading global brands publish faster, safer, and with confidence.

Eligible candidates must reside in one of the following states: Florida, Georgia, Indiana, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania 

About the Role

We're looking for a Senior Software Engineer to own product capabilities from the data model to the final interaction.

This is a frontend-leaning full-stack role: roughly 70% TypeScript and React and 30% Python and backend work, varying by project. A typical feature starts with a database query or API contract and ends as a polished experience in production. The team's scope includes organization and user management, permissions and SSO, reporting and analytics, self-serve onboarding, our shared design system, and integrations with Google Docs and Word Online through our Chrome extension.

The work combines traditional enterprise product engineering with unusually difficult browser and document problems. Our product must remain dependable while AI results arrive incrementally, enterprise permission models evolve, and third-party applications change underneath our integrations.

What You'll Own

  • Lead substantial product features from discovery and technical design through implementation, rollout, instrumentation, and iteration.
  • Build complex, responsive product experiences with React, TypeScript, Next.js, and TanStack Query.
  • Design the endpoints, data models, queries, and migrations that support those experiences.
  • Evolve our Chrome extension and document integrations across Google Docs, Word Online, and other enterprise authoring environments.
  • Improve our shared design system while treating accessibility, keyboard behavior, and focus management as product requirements.
  • Build interfaces for asynchronous and LLM-powered workflows, including streaming results, partial failures, retries, and long-running operations.
  • Maintain strong automated coverage with Vitest, Testing Library, and Playwright, including end-to-end tests against third-party applications.
  • Use instrumentation and evidence to diagnose production behavior, including failures caused by upstream applications we do not control.
  • Write concise design documents or ADRs when a decision affects multiple systems, packages, or teams.
  • Raise the engineering bar through thoughtful reviews, pairing, and improvements to shared foundations.

What You Bring

  • Deep experience building production applications with React and TypeScript. This will often mean six or more years in professional software development, but demonstrated scope, judgment, and ownership matter more than a precise number.
  • Strict TypeScript habits and clear, well-reasoned views about component boundaries, state, data flow, and API design.
  • Experience with client data layers, including cache-key design, invalidation, optimistic updates, and failure recovery.
  • A history of shipping features across the stack. You can explain how you designed a schema, exposed the right API, built the interface, and operated the service in production.
  • Experience building enterprise software involving multi-tenancy, roles and permissions, administration, organization-level settings, onboarding, or customer reporting.
  • Strong testing habits and experience treating accessibility as part of implementation rather than a later audit.
  • Strong debugging abilities: working with traces, logs, product analytics, and debugging in third party applications.
  • The ability to scope ambiguous work, communicate tradeoffs, and take responsibility for quality after launch.

What Would Be Cool To Have

You do not need experience with items in this section. If you don't, you'll learn them on the job!

  • Building backend Python FastAPI APIs
  • Streaming or SSE interfaces for AI products, including latency, partial results, retries, and non-deterministic output.
  • Temporal or another distributed workflow system, including activities, determinism, retries, timeouts, and task queues.
  • ClickHouse or customer-facing analytics data visualization.

How We Work

We hold a high bar for correctness: strict types, zero-error static analysis, test-first development, accessible interactions, and clear technical decisions. Senior engineers are expected to own outcomes, collaborate closely across product and design, and leave shared systems stronger than they found them.

If this work excites you and you meet most of the core qualifications, we encourage you to apply even if you do not match every preferred technology or domain.