AI Robotics Data Trainer

About OpenTrain OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is the hiring and contracting organization for this role, connecting contributors with practical projects that help them build credible experience and a lasting AI training portfolio. Creating an OpenTrain account is free. Candidates can use their profile to showcase relevant experience, discover projects that match their skills, and apply in minutes. Build experience in a fast-growing AI training industry Create a professional portfolio of AI training work Apply for projects through OpenTrain About AI Robotics Training AI training is the human side of building artificial intelligence. People prepare and review examples that help AI systems understand the world, including video recordings of physical actions and object interactions. In this project, your careful manipulation of objects and accurate quality checks will contribute to reliable robot-learning data. The work is hands-on and on-site rather than remote. Support the development of robotic systems through real-world data Work with video-based robot-learning data Contribute to cutting-edge AI through consistent human demonstrations The AI Robotics Data Trainer Role OpenTrain is recruiting an entry-level AI Robotics Data Trainer for an on-site customer project in San Francisco. You will operate a handheld gripper device in a laboratory, performing repeated manipulation activities such as picking up objects, opening containers, and completing simple household actions across varied objects and environments. The role combines precise physical execution with careful data-quality checks and issue reporting. Previous robotics or AI experience is not required. Employment type: Part-time contractor Experience level: Entry level Location: On-site in San Francisco, United States Time requirement: 20+ hours per week Language: English Compensation: $10-$20 per hour What You'll Do You will follow detailed written protocols exactly so that every task produces consistent, reliable robot-learning data. The work requires sustained concentration while completing repeated hands-on activities and resetting physical environments between attempts. You will also inspect each submission, document observations, communicate problems promptly, and coordinate with project leads and other contributors to keep data collection procedures consistent. Operate a handheld gripper device across varied objects and environments Pick up objects, open containers, and complete simple household actions Follow detailed step-by-step protocols without deviation Reset physical environments between attempts Verify the quality of each submission Identify hardware malfunctions and compromised recordings Record observations and report issues clearly Suggest process improvements and coordinate with project leads and contributors Requirements This role is suited to dependable people who can perform precise physical work while maintaining accuracy over extended periods. You should be comfortable learning basic hardware interfaces and communicating clear observations in writing and conversation. Reliability, punctuality, and personal accountability are important. Previous robotics or AI experience is not required, and hands-on experience in warehouse work, operations, gaming, gig work, or student projects may be useful preparation. Fine motor control and precise handling of physical objects Ability to follow complex, detailed instructions consistently Physical stamina and sustained concentration during repetitive activity Reliability, punctuality, and personal accountability Ability to learn basic hardware interfaces Ability to identify hardware or recording issues Clear written and verbal communication #J-18808-Ljbffr OpenTrain AI