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Remote Entry Level Data Annotation Jobs in Rochester, NY

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Remote Entry Level Data Annotation information

See Rochester, NY salary details

$11

$19

$31

How much do remote entry level data annotation jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote entry level data annotation in Rochester, NY is $19.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Annotation specialist, and why are they important?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are some common challenges faced by remote entry-level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is a Remote Entry Level Data Annotation job?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.
What are popular job titles related to Remote Entry Level Data Annotation jobs in Rochester, NY? For Remote Entry Level Data Annotation jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Annotation jobs in Rochester, NY look for? The top searched job categories for Remote Entry Level Data Annotation jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Entry Level Data Annotation jobs? Cities near Rochester, NY with the most Remote Entry Level Data Annotation job openings:
Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in Rochester, NY as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $41,537 per year, or $20 per hour.

AgTech Field Technician (May-August) - Batavia

Vivid Machines

Rochester, NY • On-site, Remote

$22/hr

Full-time

Posted 22 days ago

Job description

Join Vivid Machines, a trailblazing venture-backed startup revolutionizing fruit farming with cutting-edge computer vision and AI.


From the farm to the packing line, Vivid's real-time insights help fruit producers grow more with less, making food more sustainable, affordable, and predictable. Our technology is already supporting the growers behind the fruit you see at Costco, Walmart, and Wegmans.


We're looking for an AgTech Field Technician that will support customers by collecting fruit growth data, and helping growers understand and use insights to improve operations.


This role involves traveling to farm locations in Lyndonville and Williamson, along with remote work reviewing and analyzing data. This position is from May 1 - August 30th 2026.


Join our extraordinary team.


We value excellence, integrity, curiosity, passion, open-mindedness, and decisive action. We iterate quickly, deliver with purpose, and work with people who bring their unique strengths to the team.


If you love supporting customers, the pace of a scaling startup, and want to make a global impact, we'd love to meet you.

How you'll make an impact.

As an AgTech Field technician, you will work closely with our customers to provide the best possible experience by carrying out a data collection plan and helping in-field with the deployment of the Vivid X system and collection of fruit growth data. You will help interpret the results for growers, and support with information on how they may use the data to improve their operations.

You will also work closely with our data annotation and engineering teams to provide feedback and direction on what you discover in the field, and how we may make improvements to data collection, annotation, and our overall sensor and computer vision system.

If you're curious, and enjoy a combination of hands-on fieldwork, customer relationship development, team collaboration, project planning, and analysis, this role is for you!

What you'll be doing:


  • First things first: you will get full training on our tools and technology, then have shadowing sessions with the team.
  • Once you are up to speed, you will have 5 main responsibilities:
  1. Carry out field trials to test our technology at various apple growth stages, analyze outcomes, and provide feedback on how to improve outcomes.
  2. Work in-field to capture images of relevant plant physiology throughout the growing season with our sensor and manually capture count and size data for comparison. You will work with our technology team to oversee the analysis and interpretation of results collected in the field.
  3. Be our in-house expert on plant physiology and disease issues, and participate in internal and external meetings and communications, and create a hub of resources and information.
  4. Work with our data and technology team to help advise on product requirements and reports on customer needs, problems, interests, and potential for new products and services.
  5. Annotating data frames collected from the field to help train the Vivid X system

Starting in May, you will be trained in the field and in the office on how to use the technology. You will be working 8-hour days, 5 days a week. You'll need a driver's license and vehicle for your time in the field, which we expect to be the majority of the time (great for outdoor enthusiasts!) depending on the weather. Your infield work will be on farms, your office days will be remote.

What you need to bring:


  • A deep respect for farmers and farming, and a passion for agronomy and agriculture technology.
  • An understanding of plant physiology, and related pests, diseases, and the impact of nutrient deficiencies
  • An excellent understanding of Excel
  • Curiosity about the latest developments in artificial intelligence and hardware technology, and how they can be applied to solve big problems in agriculture
  • A willingness to roll up your sleeves and try things - whether it's driving an ATV, testing mechanical components, troubleshooting technology, or working with a grower to learn more about fruit production.
  • You're comfortable working in an environment where things move fast, and you can roll up your sleeves and get things done! You've got this!
  • You love to work outside and are highly motivated and target driven
  • A valid driver's license and access to a vehicle

People from all backgrounds can succeed at Vivid Machines. We believe differences and diversity help build excellent businesses.

Why do you want to work at Vivid Machines?

  • You will be offered a competitive compensation package
  • You will learn about cutting-edge technology including artificial intelligence, and how it can be applied to solve problems and develop products
  • You can help build an amazing product in a company that plans to change the world

Where to go from here?


We want to ensure it's a good fit on both sides, so you get a job you love, and we offer you a place you're proud to work at. Please apply through the job link on this page.

Vivid Machines is an equal opportunity employer committed to providing a working environment that embraces and values inclusion and diversity.

Apply