Help build a guitar image dataset by labeling frets, fretboards, and nuts with precise polygons in Label Studio. This worldwide, entry-level contractor project pays a fixed $500.
Image & Video Annotation
100% Remote Fixed price · $500
$500 fixed price
Compensation
Worldwide
Eligibility
Entry
Experience
Sep 8, 2025
Posted
Open worldwide
Interested in this role?
Create a free OpenTrain account and apply in minutes.
OpenTrain AI is the hiring and contracting organization for this project and the #1 platform for finding and building careers in AI training and data labeling. Create a free OpenTrain account to build your profile and apply in minutes.
About AI Image Annotation
AI training is the human side of building artificial intelligence. Contributors prepare visual examples by identifying and outlining objects in images, helping modern AI systems learn to recognize the world more accurately.
Remote work that can be completed from anywhere with an internet connection
An accessible way to gain experience in the fast-growing AI training industry
Hands-on experience preparing visual data for machine learning systems
The Role
As a Guitar Dataset Annotation Project contractor, you will use Label Studio to annotate guitar fretboard images. The project requires polygon annotations for individual frets, the full fretboard, and the nut, while excluding the player's hand from the labeled areas.
This is an entry-level, worldwide project for English-speaking contributors. Compensation is a fixed price of $500 for the project.
Work type: Contractor
Data type: Image
Annotation type: Polygon
Labeling software: Label Studio
Payment: $500 fixed price
Location: Worldwide
What You'll Do
You will review guitar images and create accurate polygon labels that follow the specified parts of the instrument. Careful boundaries and consistent application of the instructions are important for producing useful training data.
Create one polygon for each fret across the entire fretboard
Annotate the fretboard as a whole with one polygon or box covering the main playing surface
Annotate the nut with one box or polygon at the top of the fretboard
Exclude the player's hand from annotations
Requirements
This project is listed as entry level and does not specify additional requirements beyond the ability to complete the image annotation tasks in Label Studio. The project language is English.
Ability to identify frets, the fretboard, and the nut in guitar images
Ability to create polygon annotations in Label Studio
Careful attention to object boundaries and labeling instructions
English-language understanding
Why Join AI Training Work
AI training and data labeling are expanding fields where people help shape how advanced AI systems understand images, text, audio, and other data. This project offers a practical way to contribute to that work through focused visual annotation.
Work remotely from anywhere in the world
Build experience with a professional data-labeling workflow
Contribute to the development of computer vision datasets
How to Apply
Create a free account on OpenTrain, complete your profile, and apply to this contractor project. Review the project instructions carefully before beginning annotation work.
Annotate approximately 60 engineering diagram sheets as graph data, labeling classified symbols, routing nodes, bounding boxes, and connections. A paid pilot comes first, with a fixed project price of $499.
Join a remote, entry-level image annotation project labeling one target class per image with polygon segmentation in CVAT. Use Segment Anything when helpful, then manually correct results for accuracy.
Join a remote, part-time project annotating humanoid-robot videos for vision-language-action models. Bring prior VLA annotation experience, Level B capability, and familiarity with Encord or another labeling platform.