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Join a cutting-edge AI project as a Robotics Data Collector and earn money from home. This freelance opportunity allows you to contribute to the future of artificial intelligence while working flexible hours. You'll wear innovative technology to record daily activities, review and label machine-learning data, and ensure high-quality standards are met. With no prior experience required, this role is perfect for anyone passionate about technology and eager to make an impact. Enjoy the chance to work on a unique project while developing your skills in a growing industry.
Now Hiring: Robotics Data Collector - Quality Assurance – Get Paid to Help Improve AI!
Join a cutting-edge AI project and earn money from home while contributing to the future of artificial intelligence!
Are you passionate about AI and technology? This is a unique opportunity to work in the Artificial Intelligence and Machine Learning industry while earning money from home! We are looking for individuals to participate in a large-scale AI data collection and quality assurance project.
Your role? Wear innovative wearable technology to record daily activities and help train AI models for improved real-world understanding. You’ll also have the chance to review and label machine-learning data, ensuring high-quality standards are met.
No prior experience needed—anyone can apply!
Equipment Provided: We supply all necessary recording gear (cameras, grippers, SD cards).
Time Commitment: While not mandatory, we are particularly interested in individuals who are willing to work at least 30 hours per week.
Location: Mexico City - Remote (must be authorized to work in Mexico).
Onboarding: One-time, in-person training session required in Mexico City.
Freelance Opportunity: This is a freelance position, meaning no time-determinate contract.
Apply Today & Be Part of the Future of AI!
*Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Pay rates vary during the project lifecycle. For example, rates for onboarding are lower.
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