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Google Reviewer Jobs in Tennessee (NOW HIRING)

... Google Reviews • Drive Guest Engagement • Track Marketing Performance & Reporting Community Presenc e Build, maintain, and strengthen relationships with local businesses, youth sports ...

Hospitality Manager

Sevierville, TN · On-site

$22 - $26/hr

Compensation tied to YOUR results -- bonus potential tied directly to your OSAT and Google review scores * A proven system -- MWB's Ops Scorecard and hospitality standards behind every decision you ...

Compensation tied to YOUR results - bonus potential tied directly to your OSAT and Google review scores * A proven system - MWB's Ops Scorecard and hospitality standards behind every decision you ...

Team Member

White House, TN · On-site

$11.75 - $15.25/hr

Engage with customers professionally to ensure a positive experience and encourage Google reviews. * Manage member accounts, including cancellations, plan changes, and overall member experience (CX)

Team Member

Dyersburg, TN

$10.25 - $13.25/hr

Convenience StationEngage with customers professionally to ensure a positive experience and encourage Google reviews.Manage member accounts, including cancellations, plan changes, and overall member ...

Team Member

Shelbyville, TN

$10.50 - $13.50/hr

Convenience StationEngage with customers professionally to ensure a positive experience and encourage Google reviews.Manage member accounts, including cancellations, plan changes, and overall member ...

Team Member

White House, TN

$11.75 - $15.25/hr

Engage with customers professionally to ensure a positive experience and encourage Google reviews. * Manage member accounts, including cancellations, plan changes, and overall member experience (CX)

Team Member

Murfreesboro, TN

$10.75 - $14/hr

Convenience StationEngage with customers professionally to ensure a positive experience and encourage Google reviews.Manage member accounts, including cancellations, plan changes, and overall member ...

Team Member

Cordova, TN

$10.75 - $13.75/hr

Engage with customers professionally to ensure a positive experience and encourage Google reviews. * Manage member accounts, including cancellations, plan changes, and overall member experience (CX)

Team Member

Murfreesboro, TN · On-site

$10.75 - $14/hr

Convenience StationEngage with customers professionally to ensure a positive experience and encourage Google reviews.Manage member accounts, including cancellations, plan changes, and overall member ...

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Showing results 1-20

Google Reviewer information

See Tennessee salary details

$9

$27

$57

How much do google reviewer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for google reviewer in Tennessee is $27.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $34.13 per hour, depending on experience, location, and employer.

What is a Google reviewer?

Google Reviewers are individuals who evaluate content, products, or services on behalf of Google to ensure quality, accuracy, and compliance with company guidelines. Their responsibilities can include assessing ads, search results, business listings, or user-generated reviews for relevance and adherence to policies. Google Reviewers may work as full-time employees or as contractors through third-party vendors. Their work helps improve the accuracy and reliability of Google's platforms and ensures a better user experience.

What are the key skills and qualifications needed to thrive as a Google reviewer, and why are they important?

To thrive as a Google Reviewer, you need strong analytical abilities, attention to detail, and often a bachelor's degree or equivalent experience in a relevant field. Familiarity with Google's evaluation guidelines, web search tools, and content rating platforms is typically required. Excellent written communication, critical thinking, and time management are essential soft skills for delivering accurate and timely assessments. These competencies ensure that search results and content reviews meet quality standards, improving user experience and maintaining platform integrity.

What are some common challenges faced by Google reviewers, and how can they be addressed?

Google Reviewers often encounter challenges such as maintaining objectivity while assessing diverse content, balancing high review volumes, and keeping up with evolving guidelines and policies. To address these challenges, it’s important to stay updated on the latest review protocols, utilize provided training resources, and communicate regularly with team members to clarify uncertainties. Practicing time management and seeking feedback from peers or supervisors can also help reviewers maintain accuracy and efficiency in their assessments.

What is the difference between Google Reviewer vs Content Moderator?

AspectGoogle ReviewerContent Moderator
Required CredentialsBasic online reputation management skills, familiarity with Google platformsKnowledge of content policies, sometimes technical or language skills
Work EnvironmentRemote, online review platformsVaries: remote or on-site, social media or website platforms
Employer & Industry UsageGoogle, local businesses, review sitesSocial media companies, online platforms, media companies

Google Reviewers primarily evaluate and rate businesses or content on Google platforms, focusing on reputation management. Content Moderators review and filter user-generated content across various platforms, ensuring compliance with policies. While both roles involve online content assessment, Google Reviewers focus on reviews and local business reputation, whereas Content Moderators handle broader content types across multiple platforms.

How do I become a Google reviewer?

To become a Google reviewer, you need a Google account and an active presence on Google Maps or Google Local Guides. You can start by submitting reviews, photos, and ratings for places you visit, and as you contribute consistently, you may earn higher levels and additional privileges within the Local Guides program.

What are popular job titles related to Google Reviewer jobs in Tennessee?

For Google Reviewer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Google Reviewer jobs in Tennessee look for?

The top searched job categories for Google Reviewer jobs in Tennessee are:

Infographic showing various Google Reviewer job openings in Tennessee as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $56,380 per year, or $27.1 per hour.

Google Forward Deployed Engineer - GPS

Deloitte

Nashville, TN

Full-time

Re-posted 8 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

45th of 152 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 4+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement:

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering:

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering
  • Active Google Associate Data Practitioner or Associate Cloud Engineer certification
  • 4+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code
  • 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments
  • 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration
  • 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Professional level Google Certification
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking
  • Experience working directly with client technical teams and program stakeholders in delivery environments
  • Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation
  • Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management
  • Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures
  • Familiarity with security, privacy, or compliance requirements

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to ...


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