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Remote Data Annotation Specialist Jobs in Rochester, NY

Rochester Regional Health

Coder - Inpatient

Rochester, NY · On-site +1

$21.50 - $26/hr

Riedman- Remote SCHEDULE: Day shift ATTRIBUTES * Abides by the Standards of Ethical Coding as set ... Certified Coding Specialist (CCS), Certified Coding Specialist - Physician Based (CCS-P), Certified ...

Webbing

Sales Engineer - USA

York, NY · On-site +1

Ability to analyze data and technical trends, articulating findings. About Webbing Founded in early ... specialists in an international environment. * Fully remote role. * Medical benefits. #LI-HT1

L3HHCM20

Senior Specialist, Creative Services

Rochester, NY · On-site +1

$84K - $156K/yr

Rochester, NY; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Familiarity working from computer-aided design (CAD) data or engineering models as source material ...

Webbing

Head of Sales Americas

York, NY · On-site +1

... data, applications, and decisions must always be secure, reliable, and available. We enable ... specialists in an international environment. * Fully remote role. * Medical benefits. #LI-HT1

Webbing

Customer Success Manager

York, NY · On-site +1

Monitor SIM usage, data consumption, and service trends. * Coordinate operational requests with ... specialists in an international environment. * Fully remote role * Medical benefits

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All JobsData Annotation Specialist JobsRemote Data Annotation Specialist JobsRemote Data Annotation Specialist Jobs in Rochester, NY

Remote Data Annotation Specialist information

See Rochester, NY salary details

$27.6K

$72K

$86.8K

How much do remote data annotation specialist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote data annotation specialist in Rochester, NY is $71,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $85,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What is the salary of data annotation specialist?

The salary of a remote data annotation specialist typically ranges from $12 to $25 per hour, depending on experience, skill level, and the complexity of annotation tasks. Some positions may offer hourly wages or project-based pay, with opportunities for bonuses or raises based on performance and accuracy.

What are some typical challenges Remote Data Annotation Specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a data annotation specialist?

A data annotation specialist is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They typically use annotation tools and require attention to detail to ensure data accuracy, often working remotely with flexible schedules.

How much do remote data annotation operators make?

Remote data annotation specialists typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some roles may offer project-based pay or bonuses for accuracy and efficiency, with opportunities for skill development in annotation tools and data labeling processes.

What are Remote Data Annotation Specialists?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What qualifications do you need to be a data annotator?

To be a remote data annotation specialist, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or software. A high school diploma or equivalent is usually sufficient, and some roles may require prior experience in data labeling or related tasks. Good communication skills and the ability to work independently are also beneficial.

What is the difference between Remote Data Annotation Specialist vs Remote Data Labeler?

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

What are the most commonly searched types of Data Annotation Specialist jobs in Rochester, NY? The most popular types of Data Annotation Specialist jobs in Rochester, NY are:
What are popular job titles related to Remote Data Annotation Specialist jobs in Rochester, NY? For Remote Data Annotation Specialist jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Specialist jobs in Rochester, NY look for? The top searched job categories for Remote Data Annotation Specialist jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Data Annotation Specialist jobs? Cities near Rochester, NY with the most Remote Data Annotation Specialist job openings:
Remote Data Annotation Specialist jobs near you

AgTech Field Technician (May-August) - Batavia

Vivid Machines

Rochester, NY • On-site, Remote

$22/hr

Full-time

Re-posted 11 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