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Flexible Google Data Collector Jobs in Rochester, NY

RetailData

Data Collection Representative

Newark, NY · On-site

Optimized, flexible work schedules that enable a healthy work-life balance. * Paid drive time and mileage reimbursement. * Opportunities for employee learning and development. Come work for an ...

Asteroom

Home Inspector

Rochester, NY · On-site

$60 - $75/hr

As a Property Data Collector, you will employ Asteroom's cutting-edge equipment and user-friendly ... • Flexible work environment: both on the road and in homeowners' homes • Must have or be ...

Asteroom

Home Inspector

Rochester, NY · On-site

$60 - $75/hr

As a Property Data Collector, you will employ Asteroom's cutting-edge equipment and user-friendly ... Flexible work environment: both on the road and in homeowners' homes Must have or be willing to ...

Asteroom

Home Inspector

Rochester, NY · On-site

$60 - $75/hr

As a Property Data Collector, you will employ Asteroom's cutting-edge equipment and user-friendly ... Flexible work environment: both on the road and in homeowners' homes Must have or be willing to ...

MegazoneCloud

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

Architect and own scalable, high-performance data platforms and pipelines on Google Cloud - not ... Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to ...

Bounce AI

Commercial Collections Specialist

Rochester, NY · On-site

$22 - $26/hr

... new data sources. For business debtors, we: * Provide convenient, flexible ways to resolve ... About Us We are looking for a Commercial Collector who can negotiate directly with business owners ...

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Flexible Google Data Collector information

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How much do flexible google data collector jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for flexible google data collector in Rochester, NY is $19.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $23.70 per hour, depending on experience, location, and employer.

What is a flexible Google data collector?

Flexible Google Data Collectors are individuals who perform remote, project-based tasks to collect and evaluate data from Google search results and related platforms. Their main responsibility is to help improve the accuracy and quality of search engine results by providing feedback on the relevance and usefulness of the information displayed. These roles are often part-time or on-demand, offering the flexibility to choose assignments and work hours. Data collectors typically need to follow specific guidelines and may be required to provide objective and detailed assessments. The role is ideal for those seeking remote work with flexible scheduling.

What skills and qualifications are needed to thrive as a flexible Google data collector?

To thrive as a Flexible Google Data Collector, you need strong analytical skills, attention to detail, and familiarity with data collection methodologies, typically supported by a background in research or data analysis. Proficiency with Google tools such as Google Sheets, Forms, and Drive, as well as experience using web browsers and data entry systems, is commonly required. Strong communication, time management, and problem-solving abilities help you adapt to changing project requirements and ensure data accuracy. These skills and qualities are crucial for collecting reliable data efficiently and supporting informed business or research decisions.

What are common challenges faced by flexible Google data collectors, and how can they be managed?

Flexible Google Data Collectors often encounter challenges such as adhering to strict data quality guidelines, managing time efficiently across multiple projects, and adapting to frequently changing task requirements. Staying organized and regularly reviewing project instructions can help maintain accuracy and consistency. Additionally, proactive communication with project managers and participating in any available training can address uncertainties and enhance performance in this dynamic, remote role.

What is the difference between Flexible Google Data Collector vs Data Entry Specialist?

AspectFlexible Google Data CollectorData Entry Specialist
Required CredentialsBasic computer skills, familiarity with Google toolsHigh school diploma, typing speed, data management skills
Work EnvironmentRemote or flexible locations, online tasksOffice or remote, data input environments
Employer & Industry UsageTech companies, research firms, online data collectionBusinesses, administrative offices, data management firms
Search & Comparison IntentUnderstanding flexible online data rolesData entry tasks and skills comparison

The Flexible Google Data Collector typically involves online data collection tasks using Google tools, emphasizing flexibility and basic tech skills. In contrast, Data Entry Specialists focus on inputting data into systems, often requiring higher typing speeds and data management skills. Both roles are essential in data-related industries but differ mainly in task nature and work environment.

What are popular job titles related to Flexible Google Data Collector jobs in Rochester, NY?

For Flexible Google Data Collector jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Flexible Google Data Collector jobs in Rochester, NY look for?

The top searched job categories for Flexible Google Data Collector jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Flexible Google Data Collector jobs?

Cities near Rochester, NY with the most Flexible Google Data Collector job openings:

Flexible Google Data Collector jobs near you

Driver / Data Collector in Rochester, NY

TSMG

Rochester, NY • On-site

Full-time

Re-posted 26 days ago

Job description

Company description

Service Measure (SM) is a field data collection company founded in 2013 in New York. 

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective

The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. 

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements:
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Must have private monitored parking space for corporate vehicle;
  • Great communication and reporting skills;
  • Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
  • High level of responsibility;
  • Self-motivated and detail oriented; 
  • Must be able to successfully pass a background check (criminal and driving record).
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.