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Internship Ai Data Collection Jobs in Rochester, NY

Varsity Tutors

Data Analysis Tutor

Rochester, NY · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ...

Pwc

ERP AI Engineer - Manager

Rochester, NY

$99K - $232K/yr

You will be responsible for tasks such as data collection, data cleansing, data transformation ... This role offers the chance to shape AI solution architecture while driving innovation and ...

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Internship Ai Data Collection information

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How much do internship ai data collection jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship ai data collection in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What is an internship in AI data collection?

An Internship in AI Data Collection is a temporary, entry-level position where interns assist in gathering, organizing, and labeling data used to train artificial intelligence models. Interns may work with various data types, such as images, text, or audio, and help ensure data accuracy and quality. This role is essential in the AI development process, as high-quality data is crucial for building effective AI systems. Interns also gain hands-on experience with data management tools and learn about the ethical considerations of data handling.

What types of tasks can I expect to handle during an AI data collection internship?

As an AI Data Collection intern, you will typically work on gathering, labeling, and organizing large datasets that are used to train machine learning models. Your daily responsibilities may include annotating images or text, validating data quality, and assisting with data pre-processing tasks. You may also collaborate with data scientists and engineers to ensure data accuracy and integrity, and gain exposure to tools and processes commonly used in the AI industry. This hands-on experience is valuable for understanding the foundations of AI development and can open doors to more advanced roles in data science or machine learning.

What are the key skills and qualifications needed to thrive as an internship AI data collection specialist?

To thrive in an Internship AI Data Collection role, you need strong analytical skills, attention to detail, and foundational knowledge in data management or computer science. Familiarity with data labeling tools, spreadsheets, and possibly Python or SQL is beneficial, along with any coursework or certifications in data science or AI. Strong communication, organization, and problem-solving abilities help interns efficiently collaborate and ensure data accuracy. These skills are vital for producing high-quality datasets that enable effective AI model training and development.

What is the difference between Internship Ai Data Collection vs Data Analyst Intern?

AspectInternship Ai Data CollectionData Analyst Intern
Required CredentialsBasic knowledge of AI, data collection tools, and programmingBasic statistics, Excel, and data analysis skills
Work EnvironmentData collection, labeling, and preprocessing in tech or AI companiesData analysis, reporting, and visualization in various industries
Employer & Industry UsagePrimarily in AI, machine learning, and tech startupsAcross finance, marketing, healthcare, and tech sectors

Internship Ai Data Collection focuses on gathering and preparing data for AI models, while Data Analyst Interns analyze and interpret data to support business decisions. Both roles require foundational data skills but differ in their core activities and industry applications.

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Internship Ai Data Collection jobs near you

Driver / Data Collector in Rochester, NY

TSMG

Rochester, NY • On-site

Full-time

Re-posted 25 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.