Long-Term Image & Video Data Labeler (Remote, US/CA)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with ongoing projects that help shape state-of-the-art AI systems, and creating an OpenTrain account is free.

This role is a direct opportunity to join the fast-growing field of AI training — work that powers machine learning models by producing the high-quality annotated data they learn from.

About AI Training Work

AI training (data labeling/annotation) is the human side of building intelligent systems: people annotate images and video, transcribe audio, rate model outputs, and more. This work is ideal if you want flexible, remote, part-time work that directly impacts how AI behaves.

• Work remotely from anywhere in the US or Canada.
• Flexible schedule — set your own hours while meeting task deadlines.
• Great for experienced annotators seeking steady, ongoing contract work.

The Role

We are hiring experienced data labeling freelancers with a strong computer-vision background to annotate images and video for a long-term project. This is a contract, part-time position requiring reliable, consistent output and a commitment of roughly 15–20 hours per week (target ~20 hrs/week).

• Employment type: Contractor, part-time.
• Weekly commitment: ~15–20 hours (ongoing).
• Location: must be located in Canada or the USA.
• Pay: $14 USD per hour.

What You'll Do

You will be responsible for high-quality annotations on image and video datasets using standard labeling techniques. Tasks will vary by dataset and may require switching between tools and annotation types.

• Create bounding boxes and cuboids for object detection tasks.
• Perform classification and object-level labeling.
• Annotate polygons and precise segmentation boundaries.
• Place point/keypoint annotations for pose or landmark tasks.
• Review and QA annotations to meet quality standards.
• Follow detailed labeling guidelines and deliver on schedule.

Qualifications

We need reliable annotators with proven computer-vision labeling experience who can work independently and communicate effectively.

• 2–3+ years of hands-on experience annotating images and video.
• Proven experience with bounding boxes, polygons, keypoints, cuboids, and classification.
• Familiarity with annotation tools (examples: Labelbox, CVAT, VGG Image Annotator, or similar).
• High attention to detail and strong quality-focus.
• Ability to manage time and deliver consistent output on an ongoing contract.
• Strong written and verbal communication for reporting and collaboration.
• Located in Canada or the USA and able to commit to the weekly hours.

Who Should Apply

Apply if you are an experienced computer-vision annotator seeking steady, flexible contract work and you can commit to the weekly hours and quality expectations. This project rewards reliability and consistent high-quality performance.

• Experienced freelancers or contractors with a track record in image/video annotation.
• Annotators familiar with platform workflows and quality control on long-term projects.
• Professionals who value flexible scheduling and steady part-time hours.

How It Works & Interview Tips

This is a long-term contract managed through OpenTrain. You will be assigned tasks, complete annotations to project guidelines, and receive feedback and QA. During interviews we will ask for examples of past work and expect clear communication about your availability and rates.

• Be prepared to discuss past image/video annotation projects and show examples or metrics of quality/output.
• We may ask about experience on platforms such as Scale AI, OpenTrain, Appen, etc., and the specific types of image/video projects you completed.
• Expect questions about annotation tools you've used and how you ensure labeling accuracy.
• Submit your most competitive hourly rate considering the long-term commitment (listed pay is $14/hr).

How to Apply

If this fits your experience and availability, apply with a brief summary of your annotation background, the tools you use, examples of past image/video work, and confirmation that you are located in the US or Canada and can commit ~15–20 hours/week. Include your hourly rate and availability window.