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Remote Data Annotation Analyst Jobs in Newark, NY

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Analyze financial and operational data to identify ways to capture and report on trends, variances ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

EnthuZiastic

Growth Hacker - Remote

Rochester, NY · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Lantern

Strategy Analyst

Rochester, NY · Remote

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

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All JobsData Annotation Analyst JobsRemote Data Annotation Analyst JobsRemote Data Annotation Analyst Jobs in Newark, NY

Remote Data Annotation Analyst information

See Newark, NY salary details

$34K

$82.6K

$136K

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

As of Aug 7, 2026, the average yearly pay for remote data annotation analyst in Newark, NY is $82,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

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

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a remote data annotation analyst?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What job categories do people searching Remote Data Annotation Analyst jobs in Newark, NY look for? The top searched job categories for Remote Data Annotation Analyst jobs in Newark, NY are:
What cities near Newark, NY are hiring for Remote Data Annotation Analyst jobs? Cities near Newark, NY with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Newark, NY as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $82,647 per year, or $39.7 per hour.

AgTech Field Technician (May-August) - Batavia

Vivid Machines

Rochester, NY • On-site, Remote

$22/hr

Full-time

Re-posted 7 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