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Full Time Ai Moderator Jobs (NOW HIRING)

Qualitate

Senior Applied AI Engineer

New York, NY · On-site

$200K - $240K/yr

Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing ... Location: Full-time, in-person in New York City. What to expect working at Qualitate * Excellence.

QUALITATE

Staff Software Engineer

New York, NY · On-site

Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing ... Location: Full-time, in-person in New York City Mon-Weds, remote Thurs-Fri. What to Expect Working ...

Qualitate

Senior Software Engineer

New York, NY · On-site

$180K - $220K/yr

Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing ... Location: Full-time, in-person in New York City Mon-Weds, remote Thurs-Fri. What to Expect Working ...

Qualitate

Staff Software Engineer

New York, NY · On-site

$220K - $280K/yr

Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing ... Location: Full-time, in-person in New York City Mon-Weds, remote Thurs-Fri. What to Expect Working ...

QUALITATE

Senior Software Engineer

New York, NY · On-site

$134K - $176K/yr

Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing ... Location: Full-time, in-person in New York City Mon-Weds, remote Thurs-Fri. What to Expect Working ...

Qualitate

Head of Sales

New York, NY · On-site

Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing ... Location: Full-time, in-person in New York City. What to expect working at Qualitate * Excellence.

OpenRouter, Inc

Community Lead, Developer Relations

As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations ... Be the full-time ears of the company. Actively listen to how the community feels about OpenRouter ...

New

Syndigo

Moderation Operations Coordinator

Chicago, IL · On-site

$41K - $54K/yr

Perform monthly quality checks on AI and human moderation to ensure consistency, accuracy, and ... Respond to moderator questions and provide guidance as needed. * Identify trends, flag issues, and ...

Telus Digital

Project Manager, Onsite Data Collection

$104K - $131K/yr

Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business ... Monitor onsite project health through moderator check-ins and real-time site oversight. * Provide ...

Telus Digital

Project Manager, Data Collection Delivery

$104K - $131K/yr

Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business ... Monitor onsite project health through moderator check-ins and real-time site oversight. * Provide ...

Semafor

Event Coordinator, Live Journalism

Washington, DC · On-site

$55K - $65K/yr

Pioneer AI Adoption: Integrate generative AI and workflow automation tools into daily operations ... Lead the preparation and maintenance of event materials, including client, speaker, and moderator ...

All JobsAi Moderator JobsFull Time Ai Moderator Jobs

Full Time Ai Moderator information

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How much do full time ai moderator jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for full time ai moderator in the United States is $30.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.30 per hour, depending on experience, location, and employer.

What is a full time AI moderator?

Full Time AI Moderators are professionals responsible for overseeing and managing AI-powered systems that monitor online content, user interactions, or digital platforms. They ensure that AI moderation tools effectively identify and handle inappropriate or harmful material, such as hate speech, misinformation, or spam. These moderators may also review flagged content, adjust AI models for accuracy, and collaborate with human moderation teams to maintain safe and compliant online environments. Their role is crucial in balancing automated efficiency with human judgment for responsible content management.

What skills and qualifications are needed to thrive as a full time AI moderator?

To thrive as a Full Time AI Moderator, you need strong analytical skills, attention to detail, and familiarity with content moderation principles, often supported by a relevant degree or experience in online communities. Proficiency with AI moderation platforms, content management systems, and reporting tools is commonly required. Excellent communication, critical thinking, and resilience are vital soft skills for handling sensitive or challenging content and interacting with diverse users. These abilities ensure safe, respectful online environments and uphold community standards in rapidly evolving digital spaces.

What are common challenges faced by full time AI moderators, and how can they be managed effectively?

Full Time AI Moderators often encounter challenges such as handling large volumes of content quickly, staying up-to-date with evolving platform policies, and managing the emotional impact of reviewing sensitive or disturbing materials. To manage these challenges, moderators rely on robust training programs, support from mental health resources, and clear escalation protocols for complex cases. Additionally, they work closely with both technical teams to improve AI moderation tools and policy teams to ensure consistent enforcement, creating a supportive and collaborative work environment.

What is the difference between Full Time Ai Moderator vs Content Moderator?

AspectFull Time Ai ModeratorContent Moderator
Required CredentialsHigh school diploma or equivalent; some roles prefer experience with AI toolsHigh school diploma or equivalent; training often provided
Work EnvironmentRemote or office-based; focused on AI platform oversightRemote or on-site; reviewing user-generated content
Industry UsageTech companies, AI service providersSocial media, online platforms, gaming companies
Job FocusMonitoring AI outputs, ensuring AI complianceMonitoring user content for policy violations

Full Time Ai Moderators primarily oversee AI systems, ensuring their outputs are appropriate, often working closely with AI tools. Content Moderators focus on reviewing user-generated content to enforce platform policies. While both roles require attention to detail and similar credentials, their work environments and primary responsibilities differ, with Full Time Ai Moderators more involved in AI oversight and Content Moderators handling community content.

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Full Time Ai Moderator jobs near you
Infographic showing various Full Time Ai Moderator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $64,331 per year, or $30.9 per hour.

Senior Applied AI Engineer

Qualitate

New York, NY • On-site

$200K - $240K/yr

Full-time

Medical, PTO

Posted 15 days ago

Job description

About Qualitate
Qualitate is building the AI-native primary intelligence platform for enterprises, investment firms, and asset managers. We automate the entire primary research workflow, from study design and expert recruitment through AI-moderated interviews and insight synthesis - replacing weeks of manual research with hours of high-signal output.
Expert research is a broken industry dominated by legacy incumbents with expensive, manual, and slow services. Investment and corporate strategy teams spend hundreds of hours coordinating intermediaries, scheduling expert calls, and synthesizing insights across fragmented providers. The process takes weeks to produce short-lived intelligence.
Qualitate transforms this workflow by autonomously conducting expert discussions at scale using AI. Qualitate's AI Moderator interviews thousands of experts simultaneously each month, capturing forward-looking purchasing plans, competitive displacement, and real-time ROI signals. The platform turns these interviews into quantified, time-series outputs tracking over 10,000 public and private companies, queryable instantly in natural language. Our customers include some of the world's largest enterprises, hedge funds, PE firms, credit investors, and venture capital firms.
The Role
We're looking for a Senior Applied AI Engineer to help build the LLM and retrieval systems at the core of our AI Moderator - the engine that conducts thousands of real-time expert interviews and turns them into structured, queryable intelligence. You'll work at the intersection of applied research and production engineering: designing agentic pipelines, scaling retrieval over proprietary data, and shipping systems that directly power what our customers see. This is a senior, high-ownership role on a small founding team - your architecture decisions and code will define how the product scales.
The day-to-day:
  • Own the LLM orchestration layer that drives our AI Moderator's real-time, multi-turn expert interviews, from prompt and context design to model routing and latency optimization.
  • Instrument evals, monitoring, and guardrails for AI systems running in production, so quality issues surface before customers see them.
  • Build production APIs and services that turn raw interview data into novel, structured, queryable insights for customers, in partnership with product and data engineering.
  • Work cross-functionally with our research team to build and ship AI-powered research assets that are surfaced to customers.

Who This Role Is For
  • 5+ years building and shipping applied AI/ML systems in production, ideally including time at a startup or other fast-paced environment.
  • Deep, hands-on LLM experience - prompt/system design, retrieval-augmented generation, tool/function calling, and structured output design across multiple model providers (Anthropic, OpenAI, open-weight models).
  • Strong backend engineering in Python/TypeScript with experience designing and shipping APIs and microservices.
  • Vector database and search know-how and experience optimizing retrieval quality and latency at scale.
  • Comfort with unstructured, messy data - audio, transcripts, financial documents - and the pipelines needed to turn it into model-ready input.
  • A bias for ownership - you can take a problem from rough prototype to production without needing a detailed spec.

What Sets You Apart
  • Prior experience as an applied AI/ML engineer for a technology startup.
  • Experience with agentic or multi-turn conversational systems - voice or chat - operating in production with real users.
  • Experience building or hardening evaluation frameworks (offline + online evals, LLM-as-judge, regression testing on prompt/model changes) for production AI systems.
  • Familiarity with speech-to-text transcription models (Deepgram, AssemblyAI, Whisper, or similar).
  • ETL and data engineering experience for dealing with messy unstructured data and setting up automated processes to ingest and transform the data in a relational database
  • A background in fintech, research, or another AI-driven, data-intensive startup environment.

What You'll Build in the First 90 Days
  • Ship improvements to the LLM orchestration layer powering live AI Moderator interviews, with real customer traffic on the line.
  • Help improve our downstream LLM processes - retrieval relevance, or post-processing - by iterating labeled data → eval → prompt/code → re-eval.
  • Partner with the founding team to define what parts of the retrieval and generation stack to build versus buy as usage scales.
  • Help architect an MCP that sits on top of our proprietary dataset and the relevant tools that make up the orchestration layer
Compensation & Benefits
  • Compensation: Competitive base salary + bonus
  • Equity: Meaningful early-stage grant with upside tied to company growth.
  • Benefits: Health coverage, flexible PTO, paid holidays.
  • Location: Full-time, in-person in New York City.

What to expect working at Qualitate
  • Excellence. You'll be held accountable to an exceptionally high bar and impact
  • High velocity. Fast paced work environment in terms of growth, decision making, and time to impact
  • High agency. Ownership over how you work, not just what you work on. We hire people we trust to figure it out.
  • A builder's mindset. You'll create the processes, playbooks, and systems that define how this company scales.
  • Shared ambition. A small, early team disrupting the multi-billion dollar market research industry with AI.
  • Joy. We work hard and genuinely enjoy working with each other. Dedication to our work is matched only by our passion for fostering an enjoyable, collaborative work environment.

Qualitate is an equal opportunity employer. We encourage candidates of all backgrounds to apply.

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