If they hire you for image annotation jobs, your task is to annotate or add labels to an image.
The amount of labels on every image differs depending on the project. Some will require only one label that can represent what an entire image contains.
There are also projects that call for multiple labels or tags. This is applicable for pictures with many objects.
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Image Annotation Jobs
Education and Training
Creating annotated images requires three things: the images, the person to annotate the images (you), and a platform on which you do the annotation.
The first step involves recruiting and training people to complete annotation projects and tasks. Unlike AI careers that require a master’s degree, image annotation doesn't.
To qualify as an image or data annotator, there are really no specific educational requirements, although some employers might prefer college graduate applicants.
In some job posts, the job seeker needs at least a senior high school diploma. In most cases, annotators need thorough training on the guidelines and specifications of every project.
Every company has its specific requirements for image annotation.
Once you have completed your training, you will then have access to the platform. This is where you may have many images to annotate.
The platform is a program with all the necessary tools you need for the specific annotation assigned to you.
Online Annotation Work
There are different annotations you might need to perform.
1. 2D and 3D Annotation Jobs
With the 2D bounding boxes, you need to draw a box all over the image that you need to annotate within the image. Sometimes the target objects in an image are the same.
The instructions could be to draw a box around every bicycle in an image.
There are also times when an image has different target objects such as cars, bikes, and pedestrians. The instructions can be to draw a box around each of them.
Afterward, you will choose from a list of labels that are their suitable attributions.
They also call 3D bounding boxes cuboids.
You need to draw the boxes encircling the target object and put anchor points at the edges of the object.
There are times you cannot see a portion of the target objects. For example, when another object blocks it, you will estimate the location of this blocked portion where you need to place the anchor points.
2. Image Classification
This process involves giving just one label to an entire image. For example, labeling the animal or flower.
They will give you images of animals or flowers, and your task is to categorize or classify them according to their types or species.
A computer vision model will use the annotated image data to determine the unique characteristics of that animal.
3. Lines and Splines
This annotation involves labeling straight/curved lines on an image. Your task could include annotating sidewalks, power lines or lanes, and other boundary indicators.
They use the annotated images in drones’ trajectory planning. They also use these lines and splines in a variety of cases involved in autonomous vehicles, drones, warehouse robotics, and more.
There are target objects with irregular shapes. Bounding boxes are not suitable for these images. For these types, they require polygons instead. You will plot points on every vertex of the object.
With this, no matter what shape the target object has, you can still annotate its exact edges.
5. Semantic Segmentation
Polygons, cuboids, and 2D bounding boxes all deal with the annotation of individual objects inside the image.
Semantic segmentation involves the annotation of each pixel within that image. Instead of a list of objects to annotate, you will have a list of segment labels. You need to divide the images with this.
Suppose you are working on the traffic images for use by autonomous vehicles, your semantic segmentation task is to segment an image by cars, pedestrians, sidewalks, and buildings.
A unique color code will indicate each segment. You will draw a line around the pixels. Afterwhich, you can choose the appropriate label.
Skills and Attributes
As a data annotator, you will help in categorizing contents. You could work on various images to assess their contents and attach tags appropriate to the content.
You need to review the material you are working on to make sure nothing is amiss. Scrutinize it carefully to ensure accuracy.
For this job, you need excellent computer knowledge and organizational skills. You need the ability to pay attention to details and ability to meet deadlines. You also need communication skills and self-motivation.
Strong computer skills are necessary. You will work to review materials using your computer.
Organizational skills are necessary too for establishing correct classifications of objects. Attention to detail is crucial. You need to note any possible distinctions between the objects within an image.
As with other online jobs, the exact skills that an employer will require from an applicant will vary according to the job.
Every online work at home job requires a decently working computer and a suitable internet connection.
You can read the exact specification for a job on a job post or from the FAQ page of the company you are applying to.
Job ads may contain information on the age requirement, which is a minimum of 18 years old. This age is considered a legal working age in most places.
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Image Annotation Work Online - How To Apply
To apply for image annotator jobs, you may apply through the job portals where companies and recruiters list job openings.
You need to follow the application procedures implemented by that job portal.
There are companies offering professional services to different clients. One of them is Lionbridge. Here's their jobs page. They hire people to do data annotation tasks/projects.
Practice caution when signing up to any image annotation websites. One telltale sign of a scam website is asking you to pay money for signing up.
The salary of an image or data annotator varies per project and per company (among other factors).
Do not forget that salary in each job offer varies. It will depend on various factors such as the complexity of the task.
A job may only involve the simple task of bounding an image such as a man’s coat. This could pay you the lowest possible rate.
There are also jobs that may include other responsibilities. These could pay a higher salary.
When looking at job ads, read every detail in it because it will include important details like a work schedule. With image annotation, it is possible to enjoy flexible work schedules as you would with other online jobs.
Some job ad says you have flexible work hours. It is possible you will get morning, midday, or night shifts.
Some would need at least 20 hours in a week.
The main benefit you will get from annotation jobs is most likely the flexible working schedule.
As for the training, you have already known from the beginning of this post that the employer or company that hires you will provide the training you need to ensure you will do your job according to its guidelines.
Sample Tutorial On How To Annotate Images
- You could apply for image annotation jobs with just a high school diploma.
- Companies hiring annotators will provide the training.
- Work hours are flexible so you could use your available time to pursue other online jobs.
- You do not need other technological devices for the annotation tasks.
- Competition is tough. Landing on a job can be a challenge.
I think it would be worthwhile to work as an image annotator. Annotation work online might seem technical at first. However, companies will provide the training before you could perform the annotation tasks.
You just need to read carefully about the details of the companies you are eyeing to apply to. With this, you will know the important information like payment and the work schedule that will fit your preference.
While working as an image annotator can be a full-time income, explore other ways to make money online.
Companies can close down, you can get replaced, and cheaper manpower becomes available over time making it tough to get a competitive salary online.
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