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Content Moderation Associate Jobs in New Jersey (NOW HIRING)

Azure Architect - R01560479

Edison, NJ · On-site

$120 - $180/hr

... and content moderation in media environments Desired Qualifications: 1. Bachelor's degree in ... Associate, Google Professional Machine Learning Engineer) #J-18808-Ljbffr

New

Content Moderation Associate information

See New Jersey salary details

$32K

$60.1K

$96.4K

How much do content moderation associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for content moderation associate in New Jersey is $60,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $71,600.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a content moderation associate?

A Content Moderation Associate should have strong analytical skills, attention to detail, and a good understanding of community guidelines, often supported by a bachelor's degree or relevant experience. Familiarity with content management systems, workflow tools, and sometimes AI-based moderation platforms is typically required. Excellent communication, emotional resilience, and sound judgment are crucial soft skills in this role. These abilities ensure that online platforms remain safe, respectful, and compliant with legal and ethical standards.

What are common challenges faced by content moderation associates and how can they be managed?

Content Moderation Associates often encounter emotionally challenging or graphic material while reviewing user-generated content. Managing exposure to such material can be difficult, but most organizations provide resources like counseling, regular breaks, and peer support groups to help maintain well-being. Additionally, clear guidelines and escalation policies are in place to ensure associates have support when making complex decisions. Building resilience and utilizing available support systems are key to thriving in this role.

What is a content moderation associate?

Content Moderation Associates are professionals responsible for reviewing and managing user-generated content on digital platforms to ensure it complies with community guidelines and legal standards. They assess posts, comments, images, and videos for inappropriate, harmful, or illegal material, and take appropriate actions such as removing content or flagging it for further review. Their work helps maintain a safe and respectful environment for online communities, often requiring attention to detail and emotional resilience due to exposure to sensitive content.

How much do content moderation associates get paid?

Content moderation associates typically earn between $12 and $20 per hour, depending on experience, location, and the company. Entry-level roles may start at the lower end, while experienced moderators or those working for larger platforms can earn higher wages, often with benefits and opportunities for overtime.
What are the most commonly searched types of Content Moderation jobs in New Jersey? The most popular types of Content Moderation jobs in New Jersey are:
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What cities in New Jersey are hiring for Content Moderation Associate jobs? Cities in New Jersey with the most Content Moderation Associate job openings:

Azure Architect - R01560479

Brillio

Edison, NJ • On-site

$120 - $180/hr

Other

Posted 2 days ago

New


Job description

  • Dialogue Design, Syntax and semantic analysis, Reinforcement learning, Text Classification, Governance for Conversational AI, RASA, Natural Language Understanding (NLU), Python, Kore.ai, GDF (Google Dialog Flow), Experience Cms Connect, IBM Watson, Automatic Speech Recognition (ASR), Dialogue Management (NLG), Spark NLP, Recurrent Neural Networks, Conv AI Testing
  • Conversational AI: Lead AI/ML Engineer
Job requirements
  • Experience Range: 4 to 6 years of experience, including hands‑on work in conversational AI and at least 2 years specifically in content management systems within media or content‑driven environments Key Responsibilities: 1. Partner directly with product owners and content operations leads to shape ambiguous business ideas into scoped, testable AI requirements for content and media workflows 2. Rapidly prototype and deliver working proofs‑of‑concept for content use cases such as drafting, summarization, rewriting, taxonomy mapping, translation, and moderation, demonstrating solutions to stakeholders within days 3. Design and implement production architectures for LLM and agentic applications, including retrieval strategies, orchestration topologies, context and memory design, and human‑in‑the‑loop checkpoints 4. Build and operate multi‑agent systems using orchestration frameworks (e.g., LangGraph, CrewAI), ensuring robust tool/function calling, state management, and recovery from partial failures 5. Establish and enforce trust layers by implementing guardrails, input/output validation, PII/IP protection, and adversarial testing for secure and compliant AI deployments 6. Deploy and manage AI solutions on cloud platforms (Azure, AWS, GCP) with CI/CD, containerization, autoscaling, secrets management, and cost governance for token‑and‑GPU‑intensive workloads 7. Define and monitor quality metrics for content outputs, build evaluation datasets and harnesses, and instrument tracing, latency, and spend telemetry 8. Document architectural decisions, write runbooks, and upskill engineering teams to ensure system sustainability and knowledge transfer Required Skills: 1. Practical expertise with commercial LLMs (e.g., GPT, Claude, Gemini) and open‑weight/small models (e.g., Llama, Mistral, Phi, Gemma) 2. Hands‑on experience with content management systems (CMS) and integrating AI agents for content workflows 3. Strong proficiency in prompt engineering, few‑shot design, retrieval augmented generation (RAG), and parameter‑efficient fine‑tuning (LoRA, QLoRA, PEFT) 4. Experience deploying SLMs via vLLM, Ollama, Triton, or managed equivalents 5. Advanced skills in vector store integration (Azure AI Search, OpenSearch, Pinecone, Weaviate, pgvector) 6. Programming expertise in Python for AI/ML development 7. Experience with containerization and CI/CD pipelines for cloud deployment (Azure, AWS, GCP) 8. Familiarity with orchestration frameworks for multi‑agent systems (LangGraph, CrewAI) Preferred Skills: 1. Experience with adversarial testing and implementing security guardrails for AI systems 2. Knowledge of content enrichment, metadata management, and editorial workflow automation 3. Familiarity with evaluation harnesses and regression testing for prompt/model changes 4. Experience with asset localization, search and discovery, personalization, and content moderation in media environments Desired Qualifications: 1. Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, or a closely related field relevant to content/media AI 2. Certification in Conversational AI or NLP technologies (e.g., RASA Certified Developer, IBM Watson AI Certification) 3. Certification in cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer)
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