Join a long-term AI training project labeling images and video with bounding boxes, classifications, polygons, and segmentation. Work independently from Argentina for approximately 15-20 hours per week at $3.75 per hour.
Image & Video Annotation
Remote Hourly · $3.75/hr
$3.75/hr
Compensation
1 country
Eligibility
Intermediate
Experience
Sep 3, 2024
Posted
Open to applicants in
Argentina
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Remote contracting opportunity for candidates located in Argentina
Part-time work on an ongoing project
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About AI Training and Visual Data Labeling
AI training is the human work behind modern artificial intelligence. People prepare and review examples so computer vision systems can learn to recognize objects, understand scenes, and interpret visual data accurately.
In this role, you will annotate images and video using visual labeling techniques such as bounding boxes, classification, polygons, object detection, key points, and segmentation.
Contribute to the development of computer vision AI
Use your visual annotation experience on practical machine learning datasets
Work remotely with flexible scheduling
The Role
OpenTrain is seeking experienced visual data labeling freelancers based in Argentina for a long-term image and video annotation project. The work is ongoing and requires reliable, consistently high-quality output.
The expected commitment is approximately 15-20 hours per week, while the role listing indicates a 20+ hour weekly availability requirement. You can set your own working hours as long as assigned tasks are completed on time.
The rate for this contractor, part-time opportunity is $3.75 USD per hour.
Role: Visual Data Labeling Specialist
Location: Argentina
Work type: Contractor and part time
Pay: $3.75 USD per hour
Experience level: Intermediate
Project duration: Ongoing
What You'll Do
You will create accurate annotations for image and video datasets used in computer vision and machine learning. Tasks may vary across assigned datasets, so careful interpretation of labeling instructions and consistent execution are essential.
Draw bounding boxes around relevant objects
Classify visual content according to project instructions
Create polygon annotations and segmentation masks
Label objects and actions across image and video data
Mark points and key points where required
Complete object detection and related annotation tasks
Deliver assigned work on schedule
Communicate clearly about progress, questions, and project needs
Requirements
This opportunity is intended for professionals with substantial hands-on experience labeling image and video data. You should be comfortable working independently, managing your time, and maintaining accuracy across an ongoing project.
At least 2-3 years of hands-on experience with image and video data labeling
Proven experience with bounding boxes, classification, polygon annotations, and related tasks
Experience preparing high-quality image and video datasets for machine learning
Proficiency with annotation tools such as Labelbox, CVAT, VGG Image Annotator, or similar software
Strong attention to detail and commitment to annotation accuracy
Ability to work independently and meet deadlines
Reliable, consistent performance on long-term projects
Location in Argentina, South America, or Latin America
Availability for approximately 15-20 hours per week, with the listing indicating 20+ hours per week
Strong communication skills for collaboration and reporting
Ability to propose a competitive hourly rate for ongoing work
Who Should Apply
Apply if you have a proven background in image or video annotation and want steady, flexible work contributing to AI development. Candidates should be prepared to explain the specific visual data labeling projects they have completed and the types of annotations they performed.
Text-only data labeling experience is not the focus of this opportunity. The relevant experience is hands-on annotation of images and video.
Experienced data labeling freelancers seeking ongoing work
Visual annotation specialists familiar with multiple labeling formats
Professionals who can maintain quality while working independently
Create a free OpenTrain account and submit your application for consideration. Include your most competitive proposed rate and be ready to discuss your image and video annotation background during the interview.
During the interview, be prepared to describe the online data labeling platforms and projects you have used, focusing specifically on image and video annotation rather than text-based labeling.
Share your years of image and video labeling experience
Describe the annotation formats and tools you have used
Explain your experience delivering accurate work on long-term projects
Confirm your Argentina location and weekly availability
Submit a competitive rate that reflects the ongoing nature of the project
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