Data-Video Generalist (LATAM)
Micro1 • Remote • Posted 10 days ago
Education
Any
Type
Pay Rate
$6/task
Posted
10d ago
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About this Role
Job Summary
Join our customer's team as a Data-Video Generalist and make a direct impact on the future of activity recognition and robotics. In this expert-level, remote role, you will contribute vital synchronized motion and video data, helping to advance cutting-edge machine learning models for next-generation technologies.
Key Responsibilities
Capture precise motion data using your smartphone’s IMU sensors during specified physical activities. Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data. Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards. Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration. Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices. Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations. Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding.
Required Skills and Qualifications
Meticulous attention to detail and a proven record of following standardized protocols. Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment. Exceptional written and verbal communication skills essential for documentation and remote collaboration. Advanced tech-savviness and experience with mobile devices for sensor and video data capture. Physical ability to engage in repetitive movement tasks safely and effectively. Access to a compatible smartphone capable of high-fidelity data collection.
Preferred Qualifications
Background in robotics, kinesiology, sensor-based data collection, or related technical disciplines. Experience with human motion analysis, activity segmentation, or machine learning dataset labeling. Familiarity with structuring large-scale datasets for AI and robotics applications. Compensation is output-based; experts are paid per minute of submitted video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Key Responsibilities
- Capture precise motion data using your smartphone’s IMU sensors during specified physical activities.
- Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data.
- Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards.
- Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($6/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.