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Full Time Remote Image Annotation Jobs (NOW HIRING)

Floral Image

Customer Service Representative

Dallas, TX · Remote

$50K/yr

Customer Service Representative Floral Image North America (FINA) Full-Time | Salary $50,000 ... Fully remote role with 100% territory travel * Company-provided branded vehicle, computer, and cell ...

Floral Image

Customer Service Representative

Dallas, TX · Remote

$50K/yr

Customer Service Representative Floral Image North America (FINA) Full-Time | Salary $50,000 ... Fully remote role with 100% territory travel * Company-provided branded vehicle, computer, and cell ...

Welocalize, Inc.

Data Labeling Associate

$16.50 - $21.25/hr

... and image data. * Modify and refine machine learning data creation, annotation, and rating ... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

Welocalize, Inc.

Data Quality Analyst

... and image data. * Modify and refine machine learning data creation, annotation, and rating ... other full-time employees. * Handle data efficiently, ensuring its integrity throughout the ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain ... Familiarity with image annotation platforms such as FiftyOne or Roboflow * Experience designing ...

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All Jobsremote Jobsfull time JobsFull Time Remote Image Annotation Jobs

Full Time Remote Image Annotation information

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$48K

$67.2K

$98K

How much do full time remote image annotation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time remote image annotation in the United States is $67,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $71,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Remote Image Annotation vs Full Time Remote Data Labeling Specialist?

AspectFull Time Remote Image AnnotationFull Time Remote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, autonomous vehicles, medical imagingAI training, machine learning, data preparation
Common TasksAnnotating images with bounding boxes, polygonsLabeling data, categorizing images or text

Full Time Remote Image Annotation involves marking specific areas within images for AI training, while Full Time Remote Data Labeling Specialist may handle broader data categorization tasks. Both roles are remote, require similar skills, and support AI and machine learning projects, but they focus on different types of data annotation.

More about Full Time Remote Image Annotation jobs

What cities are hiring for Full Time Remote Image Annotation jobs?

Cities with the most Full Time Remote Image Annotation job openings:

What are the most commonly searched types of Remote Image Annotation jobs?

The most popular types of Remote Image Annotation jobs are:

What job categories do people searching Full Time Remote Image Annotation jobs look for?

The top searched job categories for Full Time Remote Image Annotation jobs are:

Full Time Remote Image Annotation jobs near you
Infographic showing various Full Time Remote Image Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $67,239 per year, or $32.3 per hour.

Computer Vision DATA Engineer - Fully Remote USD - Latin America based

Glacier

Remote

$2.0K - $3.5K/mo

Full-time

PTO

Re-posted 10 days ago

Job description

This role is FULLY REMOTE from Latin America - Pacific Time zone
Hey, we're Glacier! A Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources.
Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity.
From major CPG companies like Colgate and Amazon to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one of TIME's Best Inventions and featured in a TIME documentary, TechCrunch, Fortune, and CBS.
Here's where your expertise comes into play:
We're looking for a talented computer vision data engineer to own the data layer that powers our computer vision models. Great models start with great data, and you'll build the datasets, pipelines, and internal tools that let our ML team move fast and train on high-quality, well-curated data. This is a strong fit for someone who loves building software and internal tools as much as working with data..
Your responsibilities:
  • Own our image and video dataset lifecycle: taxonomy, curation, collection workflows, and quality, so our models train on clean, well-structured, error-free data.
  • Design and maintain the data pipelines that move, transform, version, and sync our datasets (e.g. DVC, annotation platforms, cloud storage).
  • Build internal tools and software that make dataset creation, labeling, and curation faster and more reliable for the ML and labeling teams.
  • Coordinate closely with our labeling team to ensure data is well curated, consistently annotated, and error-free.
  • Improve how we collect and prioritize training data over time, including model-assisted and active-learning approaches.

Requirements:
  • 2+ years of Machine Learning experience
  • 2+ years building software applications or internal tools, with strong expertise in Python.
  • 2+ years of experience working with image or video datasets.
  • Hands-on experience designing and maintaining data pipelines (ETL/ELT, workflow orchestration, data versioning).
  • Strong SQL and experience working with structured data.
  • English fluency, as you'll be working with a US-based team (B2 or higher).

Nice to have:
  • Computer vision background or experience supporting CV/ML teams.
  • Web application development (React + Django, Nextjs)
  • Experience with annotation platforms (Supervisely, CVAT, Label Studio) and data versioning tools (DVC).
  • Experience with cloud storage (S3) and building backend services (FastAPI).
  • Experience integrating open-source tooling and contributing to internal platforms.
  • Experience working with US companies or clients.

Compensation & Benefits
  • $2,000-$3,500 per month/depending on your experience and interview performance
  • 15 Days Paid Time Off + your National Holidays
  • $500 for your remote set up + $100/mo for your wellness

Why Join Us?
  • Mission-Driven Work - Be part of a company dedicated to sustainability and ending waste.
  • Cross-Functional Impact - Work closely with product, engineering, field operations, and customer success to solve complex problems with meaningful outcomes.
  • Backed to Succeed - Our founders bring experience from Facebook and Bain, and we're supported by top-tier investors with deep technical and industry expertise.

Apply