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At Home Image Annotation Jobs (NOW HIRING)

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to ... This role is about building and leading a world class in-house data annotation team that is able to ...

Tocaro Blue

Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Data Analyst Looking for an opportunity to make an impact at a fast growing, investor-backed AI/ML ... Familiarity with image annotation tools and basic understanding of computer vision or machine ...

Tocaro Blue

Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Data Analyst Looking for an opportunity to make an impact at a fast growing, investor-backed AI/ML ... Familiarity with image annotation tools and basic understanding of computer vision or machine ...

HiredFirst

Radiology/CT Tech

Crow Agency, MT · On-site

$1.9K/wk

At HiredFirst we breed winners. Responsibilities * Perform diagnostic radiology and CT scans with ... Accurate documentation, image annotation, and maintenance of patient records. * Ability to meet or ...

HiredFirst

Radiology/CT Tech

Crow Agency, MT · On-site

$1.9K/wk

At HiredFirst we breed winners. Responsibilities * Perform diagnostic radiology and CT scans with ... Accurate documentation, image annotation, and maintenance of patient records. * Ability to meet or ...

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At Home Image Annotation information

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How much do at home image annotation jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for at home image annotation in the United States is $20.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.08 per hour, depending on experience, location, and employer.

What is the difference between At Home Image Annotation vs Data Labeler?

AspectAt Home Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, autonomous vehicles, medical imagingMachine learning, AI datasets, various industries
Job FocusAnnotating images for AI modelsLabeling data for machine learning

Both At Home Image Annotation and Data Labeler roles involve preparing data for AI systems, often working remotely with similar skills. However, At Home Image Annotation specifically emphasizes annotating images, while Data Labeler may include a broader range of data types. The roles are often interchangeable depending on the project, but understanding the specific focus can help in job selection.

What are some common challenges faced by at-home image annotation professionals, and how can they be managed?

At-home image annotation professionals often face challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring high accuracy in their work. To manage these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and regularly review guidelines to minimize errors. Collaborating through online team channels and seeking feedback can also help maintain quality and stay connected with the team, even while working remotely.

What is at home image annotation?

At home image annotation is a remote job where individuals label or tag objects, features, or areas within digital images to help train artificial intelligence (AI) systems. This process involves using specialized software to draw boxes, outlines, or points on images and assign labels to them based on specific instructions. The annotated images are then used by companies to improve machine learning models for tasks such as image recognition, autonomous vehicles, and medical diagnostics. Working from home, annotators usually need a computer, reliable internet, and attention to detail. The job is often flexible and can be done part-time or full-time.

What are the key skills and qualifications needed to thrive as an At Home Image Annotation Specialist, and why are they important?

To thrive as an At Home Image Annotation Specialist, you need attention to detail, strong visual perception, and a basic understanding of data labeling concepts, usually supported by a high school diploma or equivalent. Familiarity with annotation platforms like Labelbox, Supervisely, or VIA, and sometimes experience with basic image editing tools, is often required. Strong self-motivation, communication skills, and the ability to follow complex instructions help individuals excel in remote, independent work environments. These skills ensure high-quality, accurate datasets that are crucial for training reliable computer vision models.
What cities are hiring for At Home Image Annotation jobs? Cities with the most At Home Image Annotation job openings:
What are the most commonly searched types of Image Annotation jobs? The most popular types of Image Annotation jobs are:
What states have the most At Home Image Annotation jobs? States with the most job openings for At Home Image Annotation jobs include:
What job categories do people searching At Home Image Annotation jobs look for? The top searched job categories for At Home Image Annotation jobs are:
At Home Image Annotation jobs near you
Infographic showing various At Home Image Annotation job openings in the United States as of July 2026, with employment types broken down into 22% Locum Tenens, 6% Full Time, 6% Part Time, 7% Contract, 55% Nights, and 4% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $42,886 per year, or $20.6 per hour.
Data Annotation Lead

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Posted 8 days ago

Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
We're looking for a Data Annotations Lead to join our Data team and own the people side of data annotation.
This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.
You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.
What You'll Do
  • Build a data annotation team
  • Manage the people side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes
  • Vibe code data annotation tools during pilot stages

What You'll Bring
  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice to Have
  • Previous experience leading data annotation teams
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

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