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Remote Google Quality Rater Jobs in New Jersey (NOW HIRING)

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with relational ...

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Remote Google Quality Rater information

What is a Remote Google Quality Rater?

Remote Google Quality Raters are individuals who work from home to evaluate the quality and relevance of search engine results provided by Google. Their main role is to assess how well search results match user queries, helping improve the accuracy and usefulness of Google's algorithms. Raters follow specific guidelines to judge search result quality, and their feedback contributes to continuous improvement of Google's search experience. This is typically a part-time, contract-based job that does not involve direct interaction with Google users.

What skills and qualifications are needed to thrive as a Remote Google Quality Rater?

To thrive as a Remote Google Quality Rater, you need strong analytical skills, attention to detail, and a solid understanding of current events and online culture, usually requiring at least a high school diploma or equivalent. Familiarity with web browsers, search engines, and online research tools is essential, and training is typically provided through Google's guidelines and evaluation systems. Excellent time management, communication, and the ability to work independently are standout soft skills in this role. These skills are crucial because they ensure accurate evaluation of search results, which directly impacts the quality and relevance of information delivered to users.

What are common challenges faced by Remote Google Quality Raters, and how can they be managed?

Remote Google Quality Raters often encounter challenges such as interpreting nuanced guidelines, maintaining focus during repetitive tasks, and managing variable workloads. Staying updated with frequent guideline changes and ensuring consistent quality in evaluations are key aspects of the role. To manage these challenges, it's helpful to set a structured daily schedule, actively participate in training sessions, and engage with online communities for peer support. Building effective time-management habits and regularly reviewing guidelines can greatly enhance accuracy and job satisfaction.

What is the difference between Remote Google Quality Rater vs Remote Search Engine Evaluator?

AspectRemote Google Quality RaterRemote Search Engine Evaluator
CredentialsMinimal; usually high school diploma or equivalentSimilar; high school diploma often required
Work EnvironmentRemote, flexible hours, home-basedRemote, flexible hours, home-based
Employer & IndustryGoogle, tech/advertising industryVarious search engines, tech industry
Job FocusAssessing Google search quality and relevanceEvaluating search engine results for accuracy and relevance

Both roles involve evaluating search results remotely, with similar credentials and work environments. The main difference lies in the employer and specific focus: Google Quality Raters work specifically for Google, while Search Engine Evaluators may work for various companies. Both positions require attention to detail and familiarity with search engines, making them comparable roles in the industry.

What are popular job titles related to Remote Google Quality Rater jobs in New Jersey?

For Remote Google Quality Rater jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Google Quality Rater jobs in New Jersey look for?

The top searched job categories for Remote Google Quality Rater jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Google Quality Rater jobs?

Cities in New Jersey with the most Remote Google Quality Rater job openings:

Remote Google Quality Rater jobs near you
Infographic showing various Remote Google Quality Rater job openings in New Jersey as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 100% Remote job distribution.

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ • On-site, Remote

Contractor

Posted 11 days ago

Job description

Agentic AI Engineering Architect - Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTE role.
Position Overview
Lead the transformation of the software engineering organization into an AI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across the Product Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.
Key Responsibilities
  • Define the AI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterprise AI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • Drive AI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures across cloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • Establish AI governance, security, Responsible AI, validation, and regulatory compliance practices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such as OpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 12+ years of enterprise software engineering experience.
  • 8+ years leading enterprise architecture initiatives.
  • 5+ years leading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience in enterprise software modernization and DevSecOps at scale.
  • Strong understanding of Generative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementing GenAI solutions in enterprise environments.
  • Strong enterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills
AI/Agentic AI: GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering: Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data: Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.
Other Job Details:
  • Job Type: C2C or W2. (Open to market rate)
  • Duration: 6+ months with a high possibility of extension.
  • Location: REMOTE.
  • Interviews: Video interviews.
  • Docs required: ID proof will be required.

Apply