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Ai Moderator Jobs (NOW HIRING)

Reddit

Engineering Manager, Safety

$217K - $303K/yr

... moderator community and equip our internal admin teams to safeguard the platform at scale. If you ... Lead a high-impact team of 13 engineers enabling automated AI training and human-in-the-loop ...

Wing Assistant

Founding Field & Events Marketer

A topical salon, 20 people, one provocative question, one moderator, off the record * A curated wine tasting or tasting menu dinner with a vertical focus (e.g., "AI leaders in financial services"

Wing Assistant

Founding Field & Events Marketer

A topical salon, 20 people, one provocative question, one moderator, off the record * A curated wine tasting or tasting menu dinner with a vertical focus (e.g., "AI leaders in financial services"

Nagarro

Distinguished Engineer - BFSI CTO

Represent the company as a keynote speaker, panel moderator, and thought leader at leading BFSI ... AI platforms. * Demonstrated ability to translate complex technical concepts into business value ...

Nagarro

Represent the company as a keynote speaker, panel moderator, and thought leader at leading BFSI ... AI platforms. * Demonstrated ability to translate complex technical concepts into business value ...

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How much do ai moderator jobs pay per hour?

As of Jun 7, 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 are the key skills and qualifications needed to thrive in the Ai Moderator position, and why are they important?

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.

How to become an AI moderator?

To become an AI moderator, candidates typically need strong communication skills, familiarity with online community guidelines, and the ability to review and filter content effectively. Relevant experience in content moderation, knowledge of AI tools, and sometimes certifications in digital safety or online community management are beneficial. Many roles require flexible schedules and the ability to work remotely.

What are some typical challenges faced by AI Moderators, 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.

What is an AI Moderator job?

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.

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Ai Moderator jobs near you
Infographic showing various Ai Moderator job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $64,331 per year, or $30.9 per hour.
ML Engineer, LLM Safety & Security

ML Engineer, LLM Safety & Security

Sustainable Talent

Santa Clara, CA • On-site, Remote

$90 - $130/hr

Full-time

PTO

Posted 19 days ago

Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a ML Engineer, LLM Safety & Security to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options.

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data science paired with a robust data engineering foundation. This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you'll be doing:

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:

  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

Apply