ZipRecruiter

Log In

1

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 forward-looking purchasing plans, competitive displacement, and real-time ROI signals. The platform turns ...

Terac

Founding Engineer

San Francisco, CA · On-site

$140K - $210K/yr (+ commission)

Ship the AI moderator, our voice agent that screens candidates, evaluates long-horizon tasks, detects cheating, and handles multi-language conversations. * Build marketplace systems: opportunity ...

Terac

Founding Engineer

San Francisco, CA · On-site

$140K - $210K/yr

Ship the AI moderator, our voice agent that screens candidates, evaluates long-horizon tasks, detects cheating, and handles multi-language conversations. * Build marketplace systems: opportunity ...

Trunk Tools

Data Moderator Redmond-2

Redmond, WA · Hybrid

$25/hr

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data ... About Job Overview The Moderator is responsible for running the day-to-day activity for on-site ...

Trunk Tools

Data Moderator Redmond-1

Redmond, WA · Hybrid

$25/hr

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data ... About Job Overview The Moderator is responsible for running the day-to-day activity for on-site ...

QUALITATE

Staff Software Engineer

New York, NY · On-site

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 ...

Qualitate

GTM Engineer

New York, NY · On-site

Qualitate's AI Moderator conducts thousands of conversations with experts each month, capturing forward-looking purchasing plans, competitive displacement, and real-time ROI signals. Our continuous ...

Qualitate

Senior Software Engineer

New York, NY · On-site

$180K - $220K/yr

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 ...

next page

Showing results 1-20

All JobsGovernment JobsSocial Service JobsCommunity Relations Manager JobsAi Moderator Jobs

Ai Moderator information

See salary details

$13

$30

$53

How much do ai moderator jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for 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 an AI moderator?

An AI Moderator is responsible for overseeing and managing content generated or filtered by artificial intelligence systems, ensuring it aligns with platform guidelines and community standards. They may review flagged content, improve AI moderation models, and handle user appeals. AI Moderators work to strike a balance between automation and human oversight, helping to refine AI accuracy while preventing harmful or inappropriate content. This role is essential for maintaining safe and engaging online communities.

What skills and qualifications are needed to thrive as an AI moderator?

To thrive as an AI Moderator, you need strong analytical abilities, attention to detail, and familiarity with AI technologies and content policies, often supported by a relevant degree or experience in technology or communications. Familiarity with content management systems, AI monitoring platforms, and moderation tools is typically required. Excellent judgment, clear communication, and the ability to remain impartial under pressure are vital soft skills in this field. These capabilities are crucial to ensure that AI-generated content aligns with company guidelines and creates a safe, trustworthy user experience.

What challenges do AI moderators face and how do they overcome them?

AI Moderators often encounter challenges such as identifying nuanced or borderline content, staying updated with evolving policies, and managing high volumes of data quickly and accurately. They address these challenges by relying on ongoing training, close collaboration with policy and technical teams, and leveraging advanced moderation tools to streamline workflows. Developing strong critical thinking and problem-solving skills also helps them make consistent, fair decisions. As a result, team members can work more efficiently and maintain content quality across platforms.

How much do AI moderators make?

AI moderators typically earn between $15 and $25 per hour, depending on experience, location, and the platform. Some roles may offer salaried positions or freelance opportunities with varying pay rates. Strong communication skills and familiarity with content policies are often required.

How to become an AI Moderator?

To become an AI Moderator, candidates typically need strong communication skills, familiarity with online community guidelines, and experience with content moderation tools. Many roles require a high school diploma or equivalent, with some positions preferring prior moderation or customer service experience. Knowledge of AI and machine learning concepts can be beneficial but is not always mandatory.
More about Ai Moderator jobs

What cities are hiring for Ai Moderator jobs?

Cities with the most Ai Moderator job openings:

What are the most commonly searched types of Ai Moderator jobs?

The most popular types of Ai Moderator jobs are:

What states have the most Ai Moderator jobs?

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

What job categories do people searching Ai Moderator jobs look for?

The top searched job categories for Ai Moderator jobs are:

Ai Moderator jobs near you
Infographic showing various Ai Moderator job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% 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.

Apply