Visual Data Labeling - Images/Video - Argentina

About OpenTrain

OpenTrain is a centralized job board for data-labeling and AI-training work. We gather projects from many AI companies and labeling platforms so you can discover steady, relevant gigs in one place instead of hunting across dozens of sites.

Creating an OpenTrain account is free and applying takes only a few minutes. We list roles across many specialties — including image and video annotation like this project.

About AI training and why it matters

Human annotation is the foundation of modern AI: people prepare and review examples that teach models to see, hear, translate and respond. Image and video annotations like bounding boxes, polygons and segmentation create the high‑quality datasets that computer vision models need.

This kind of work is often fully remote, flexible in hours, and accessible to people with strong attention to detail or domain experience. Contributors directly shape how real AI systems perform in production.

Project overview

We are hiring experienced freelance annotators based in South America or Latin America for a long-term image and video labeling project. The work includes bounding boxes, classification, polygon annotations, keypoints, segmentation and related computer vision tasks.

This is an ongoing contract (part-time) with a steady workload. The project expects a regular commitment of approximately 15–20 hours per week per person; the role is listed as 20+ hours/week. You will set your own hours as long as assigned tasks are completed on time.

• Data type: Images and video (computer vision).
• Label types: Bounding box, classification, object detection, keypoint, polygon, segmentation.
• Employment: Contractor, part-time.
• Location: Must be located in South America or Latin America.

Compensation and pricing

Pay is on an hourly basis at USD 3.75 per hour. Because this is a long-term project, we encourage applicants to consider the ongoing nature when proposing their pricing.

Submit your most competitive rate when asked during the application or interview process; preference will be given to reliable professionals who can deliver consistent, high-quality annotations over time.

• Payment type: Pay-per-hour (USD 3.75/hr).
• Project duration: Ongoing / long-term.
• Proposals should account for steady weekly commitment (approx. 15–20 hours).

What you’ll do day-to-day

Annotate image and video data according to detailed labeling guidelines. Tasks will vary and may include drawing bounding boxes, creating polygon masks, placing keypoints, classifying objects or activities, and checking or correcting prior annotations.

Work independently to complete assigned batches on schedule, communicate progress or blockers, and maintain high accuracy and consistency across tasks.

• Perform bounding boxes, polygon segmentation, keypoint placement, classification and object detection tasks.
• Follow labeling specifications and quality standards for each dataset.
• Manage and complete assigned task batches within deadlines.
• Report issues or ambiguous cases to project leads when needed.

Requirements

You must meet all of the following qualifications to be considered for this role.

We will evaluate candidates on past experience, tool familiarity, accuracy, reliability and communication.

• 2–3+ years of hands-on image and video data labeling experience.
• Proven experience with image/video annotation: bounding boxes, polygon annotations, segmentation, classification, and keypoints.
• Proficiency with annotation tools (examples: Labelbox, CVAT, VGG Image Annotator, or similar).
• High attention to detail and a track record of accurate, consistent labeling.
• Ability to work independently, manage time, and meet deadlines.
• Willingness to commit roughly 15–20 hours per week; role listed as 20+ hrs/week.
• Located in South America or Latin America (required).
• Strong communication skills for collaboration and reporting.
• Ability to offer competitive pricing considering long-term project potential.

Who should apply

Experienced annotators who prefer steady, part-time contract work and live in South America or Latin America. Ideal applicants have a portfolio of image/video projects and familiarity with mainstream annotation tools.

This role is not for text-only labelers; we seek people with demonstrable computer vision annotation experience.

Interview tips and how to apply

Apply through OpenTrain by creating a free account and submitting your application. Include your relevant experience, preferred hourly rate (you may reference the listed USD 3.75/hr), typical weekly availability, and examples or descriptions of past image/video projects.

During interviews, be prepared to discuss specific annotation projects you’ve done on platforms like Scale AI, Remotasks, Appen, or similar. Focus on image/video work (text-only projects are not relevant) and explain the types of tasks you performed and tools you used.

• When applying: include experience, tool proficiency, availability, and your proposed hourly rate.
• Interview question to expect: describe past image/video annotation projects and which platforms or tools you used.
• Ask about quality checks, turnaround expectations, and sample task reviews during the interview.