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Remote Google Quality Rater Jobs in Schenectady, NY

Intuit

TurboTax Experts Manager 1 FTE

Albany, NY · Remote

$45.50 - $61/hr

S. (Remote) Manager 1 role for TurboTax Live Responsibilities * Deliver the highest quality support ... Google (Forms, Doc, Sheets, Slides, etc.) * Critical thinking, following process and procedures ...

Intuit

TurboTax Experts Manager 1 FTE

Albany, NY · Remote

$45.50 - $61/hr

S. (Remote) Manager 1 role for TurboTax Live Responsibilities * Deliver the highest quality support ... Google (Forms, Doc, Sheets, Slides, etc.) * Critical thinking, following process and procedures ...

ACS Consultancy Services

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Data Modeler Location : Remote We are currently seeking candidates who meet the following ... Ensure data integrity, consistency, and quality across systems. * Support data warehouse, data lake ...

Team Velocity

Digital Performance Manager (DPM)

Albany, NY · Remote

$90K - $115K/yr

... quality support. The ideal candidate is a detail-oriented problem solver who enjoys working with ... This is a full-time, salaried, remote-work position. Candidate must reside in the Continental U.S ...

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Remote Google Quality Rater information

See Schenectady, NY salary details

$12

$19

$27

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

As of Jul 26, 2026, the average hourly pay for remote google quality rater in Schenectady, NY is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $21.15 per hour, depending on experience, location, and employer.

What are Remote Google Quality Raters?

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

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 are the key skills and qualifications needed to thrive as a Remote Google Quality Rater, and why are they important?

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 cities near Schenectady, NY are hiring for Remote Google Quality Rater jobs? Cities near Schenectady, NY 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 Schenectady, NY as of July 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,107 per year, or $19.3 per hour.
Advanced Cloud Based Programmer (GCP focus)- Hybrid - Long Term Contract

Advanced Cloud Based Programmer (GCP focus)- Hybrid - Long Term Contract

Experienced Recruiting Partners

Albany, NY • On-site, Remote

Full-time

Posted 18 days ago

Job description

Contract Role

Length: Currently 12 months (potential for ongoing renewals)

Location: Hybrid - Remote + 50% Onsite in Albany, NY

Client is seeking two experienced Advanced Cloud & Generative AI Developers to join a team supporting and enhancing conversational AI solutions.

  • These positions are expected to be one-year engagements with the potential for ongoing renewals.
  • Team members will work across multiple initiatives, supporting existing chatbot and virtual agent applications while also developing new AI-driven solutions.

The ideal candidate will have strong expertise in Google Cloud Platform (GCP), conversational AI development, generative AI technologies, and full-stack application development using Python and JavaScript.

Responsibilities:

  • Design, develop, enhance, and maintain chatbot and virtual agent solutions built on Google Cloud Platform.
  • Build and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
  • Develop and maintain backend services and APIs using Python and JavaScript.
  • Support existing applications, troubleshoot issues, and implement enhancements.
  • Collaborate with business stakeholders and technical teams to gather requirements and deliver solutions.
  • Maintain high-quality, readable, and well-documented code.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.
  • Contribute to infrastructure automation and CI/CD processes using Terraform and Git-based repositories.

Requirements:

  • Bachelor's degree.
  • 5+ years related experience.
  • 2+ years of hands-on experience with Google Cloud Platform (GCP).
  • 2+ years of experience developing chatbots or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience building Generative AI applications and AI agents.
  • Strong understanding of Retrieval-Augmented Generation (RAG) concepts and implementations.
  • Experience with prompt engineering and prompt optimization techniques.
  • Proficiency in Python application development.
  • Proficiency in JavaScript development for both frontend and backend applications.
  • Experience using source control systems such as Git, GitHub, or GitLab.
  • Experience developing and maintaining infrastructure-as-code solutions using Terraform.
  • Ability to write and maintain clean, scalable, and maintainable code.
  • Strong verbal and written communication skills.
  • Experience working directly with business stakeholders and customers.

    Preferred Qualifications:

  • Google Cloud certifications.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with various Generative AI platforms and services.
  • Machine Learning or AI model development experience.
  • Experience with Looker reporting and LookML.
  • Experience designing and deploying cloud-native applications.
  • Familiarity with Agile development methodologies and DevOps practices.

    Technical Skills:

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Conversational AI: Dialogflow, Conversational Agents
  • Generative AI: AI Agents, RAG, Prompt Engineering
  • Programming Languages: Python, JavaScript
  • Infrastructure as Code: Terraform
  • Version Control: Git, GitHub, GitLab
  • Analytics & Reporting: Looker, LookML
  • Development Practices: CI/CD, Code Reviews, Testing, Documentation

    Soft Skills:

  • Excellent communication and collaboration skills.
  • Strong problem-solving and analytical abilities.
  • Ability to work independently and as part of a cross-functional team.
  • Customer-focused mindset with experience engaging directly with stakeholders.
  • Ability to adapt quickly to new technologies and evolving project requirements.