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Remote Google Quality Rater Jobs in Philadelphia, PA

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 ...

Aprio

Senior Manager, Digital Marketing

Bala Cynwyd, PA · On-site +1

Google Ads or Google Analytics certification(s). * MBA. Why work for Aprio: Whether you are just ... sales - Top rated wellness program - Flexible working environment including remote and hybrid ...

Directive

Paid Media Lead (Remote US)

Philadelphia, PA · Remote

$90K - $110K/yr

... quality, and any improvements we can make to that dynamic * Drive referrals via client ... Execute and optimize PPC advertising campaigns across multiple platforms including Google Ads ...

EDCLUB, INC

Sales Representative (K-12)

Philadelphia, PA · On-site +1

This role is primarily remote but requires occasional travel to meet customers, attend trade shows ... Over 10 million users choose TypingClub to learn or improve their typing, and Google recognizes ...

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Remote Google Quality Rater information

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How much do remote google quality rater jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote google quality rater in Philadelphia, PA is $20.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.07 per hour, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Remote Google Quality Rater jobs in Philadelphia, PA? For Remote Google Quality Rater jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Google Quality Rater jobs in Philadelphia, PA look for? The top searched job categories for Remote Google Quality Rater jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Google Quality Rater jobs? Cities near Philadelphia, PA with the most Remote Google Quality Rater job openings:
Remote Google Quality Rater jobs near you

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
  • US-Remote or Marlton, NJ area

Job Title
  • Software Engineer

Salary
  • Commensurate with industry position, depending on experience

Shift
  • Typical: Monday through Friday 9am to 5pm

Travel
  • Less than 5%

Position Responsibilities
  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance
  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills
  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications
  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required
  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience
  • 2+

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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