Data Labeling Expert Needed for PPE Detection AI Project

About OpenTrain

OpenTrain aggregates data-labeling and AI-training jobs from many companies and platforms into a single job board so contributors can find work without hunting across dozens of sites.

Creating an OpenTrain account is free and applying to listed projects usually takes only a few minutes.

About AI training and this kind of work

AI models learn from examples that people prepare and review. Image annotation—drawing boxes or polygons and assigning labels—is how computer-vision systems learn to detect objects such as people and safety equipment.

This role contributes directly to building safer, more accurate PPE-detection models used in workplaces and analytics systems.

The role — PPE Detection Image Labeler (Contractor)

We are seeking an expert data labeling contractor to annotate images for a PPE detection project. You will create accurate bounding boxes and polygon labels and assign the correct class for each object in the image.

This is a fixed-price assignment paying USD 2,000. The work is fully remote and open to contributors worldwide. Labeling will be performed in Roboflow and focused on image data.

• Data type: IMAGE
• Label types: OBJECT_DETECTION and POLYGON
• Labeling software: Roboflow
• Employment type: Contractor
• Experience level: Expert
• Payment: Fixed price — USD 2,000

Annotation classes you'll use

You will assign one of the following classes for each relevant object in the images. Accurate, consistent labeling across the dataset is essential.

• Gloves
• Hardhat
• NO-Gloves
• NO-Hardhat
• No-Vest-Overall
• Overall
• Person
• Safety Vest

What you'll do day to day

Follow project guidelines to annotate images using Roboflow, producing high-quality bounding boxes and polygon masks where required. Maintain consistency and accuracy across all images to meet model-training standards.

• Draw precise bounding boxes and/or polygons around objects and persons
• Assign the correct class label for each annotated object
• Adhere to annotation guidelines and consistency rules
• Address feedback from reviewers and correct annotations as requested

Requirements

Candidates must have proven experience with image annotation tools and a track record of delivering accurate object-detection labels. Familiarity with AI datasets for object detection is a plus.

• Proven experience with annotation tools (examples: CVAT, Label Studio, Roboflow, Roboflow mentioned specifically)
• Ability to maintain high accuracy and consistency across images
• Familiarity with object-detection datasets and best practices is beneficial
• Able to work as a contractor and use Roboflow for labeling

Who should apply

Experienced image annotators, QA specialists, and computer-vision contributors who have worked on object-detection projects and are comfortable using Roboflow should apply. Applicants with prior PPE or workplace-safety annotation experience are especially welcome.

Time commitment and schedule details are not specified in this listing and will be communicated to applicants during screening and onboarding.

How it works — applying and next steps

Create a free OpenTrain account and submit your application. Selected contractors will be contacted with project instructions, access details for Roboflow, and the annotation guidelines.

OpenTrain centralizes these jobs so you can apply quickly and manage work across projects. Applying typically takes only a few minutes.

• Apply via OpenTrain — account creation is free
• If selected, you'll receive project guidelines and Roboflow access to begin labeling