Join a long-term visual data labeling project in France, annotating images and videos with bounding boxes, polygons, classification, and segmentation. Earn $14 per hour while choosing your working hours across an ongoing 15 to 20 hour weekly commitment.
Image & Video Annotation
Remote Hourly · $14/hr
$14/hr
Compensation
1 country
Eligibility
Intermediate
Experience
Sep 3, 2024
Posted
Open to applicants in
France
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OpenTrain AI is the hiring and contracting organization for this role. OpenTrain helps people build careers in AI training and data labeling, connecting contributors with opportunities to help develop modern artificial intelligence systems.
Remote-friendly contract work
Free OpenTrain account and straightforward application process
Opportunities to build experience in a fast-growing AI industry
About Visual AI Training
AI systems learn from examples prepared and reviewed by people. In visual data labeling, contributors identify objects and visual features in images and video so computer vision models can learn to recognize and interpret the world more accurately.
Work directly with image and video datasets
Support the development of machine learning and computer vision models
Use skills in accuracy, consistency, and visual review
The Role
OpenTrain AI is seeking experienced visual data labeling freelancers based in Western Europe, with this opportunity specifically listed for France. You will complete a variety of image and video annotation tasks on a long-term, ongoing project.
The role pays $14 USD per hour. The project description calls for a commitment of 15 to 20 hours per week, while the structured listing indicates 20 or more hours per week. You can set your own working hours as long as assigned tasks are completed on time.
Contractor and part-time position
Location: France, with a Western Europe requirement
Pay: $14 USD per hour
Ongoing project with long-term potential
Working language: English
What You'll Do
You will annotate images and videos for computer vision datasets, maintaining a high level of accuracy across varied labeling assignments. The work may include identifying objects, marking their locations, and applying the appropriate visual labels.
Create bounding box annotations
Apply image and video classifications
Complete polygon annotations
Perform object detection labeling
Add points and keypoints where required
Complete segmentation tasks
Meet deadlines while maintaining consistent annotation quality
Requirements
This project is intended for professionals with extensive hands-on experience in image and video data labeling. Applicants should be able to work independently, manage their time effectively, and consistently deliver high-quality annotations throughout a long-term engagement.
At least 2 to 3 years of experience with image and video data labeling
Proven experience preparing or annotating image and video datasets for machine learning
Experience with bounding boxes, classification, polygon annotations, and related tasks
Proficiency with annotation tools such as Labelbox, CVAT, VGG Image Annotator, or similar software
Strong attention to detail and accuracy
Ability to work independently and meet deadlines
Demonstrated reliability on long-term projects
Availability for the required weekly commitment
Location in Western Europe
Ability to propose competitive pricing for ongoing work
Who Should Apply
This opportunity is a strong fit for experienced visual annotation freelancers who want steady, consistent work and the flexibility to choose when they work. Applicants should be prepared to discuss specific image and video annotation projects they have completed, including work performed through online data-labeling platforms.
Professionals with a proven image or video annotation track record
Freelancers who value flexible scheduling and ongoing project work
Applicants who can explain the types of computer vision datasets they have labeled
Candidates comfortable discussing experience with platforms such as Scale AI, OpenTrain, Appen, or similar services
How to Apply
Create a free OpenTrain account and apply in minutes. Include your relevant image and video annotation experience, the tools you have used, the types of projects you have completed, your availability, and your competitive hourly rate.
Highlight visual annotation experience rather than text-based labeling
Describe your experience with image and video datasets
Share examples of annotation tasks and tools you have used
Confirm your Western Europe location and weekly availability
Submit your proposed rate with the long-term nature of the project in mind
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