On-Site AI Robotics Data Trainer - Part-Time, SF

OpenTrain AI; San Francisco, Northern (CA, KY); Hybrid; USD 14,000 - 28,000; Part time

Job summary

OpenTrain AI is seeking an entry-level AI Robotics Data Trainer for an on-site project in San Francisco. You will operate a handheld gripper to perform simple household actions and record observations while following detailed protocols.

This part-time contractor role requires 20+ hours per week, English language proficiency, reliability, and careful data-quality checks. Prior robotics or AI experience is not required, making it accessible to motivated beginners.

Qualifications

• Entry-level role requiring reliability and precise physical work.
• Ability to follow complex, detailed written protocols.
• Strong fine motor control for manipulating objects.
• Comfort with learning basic hardware interfaces.
• Clear written and verbal communication in English.
• Willingness to work on-site in San Francisco.
• Punctual, dependable and accountable.

Responsibilities

• Follow step-by-step protocols to ensure consistent data collection.
• Operate handheld gripper device to manipulate objects.
• Perform repeated tasks across varied objects and environments.
• Inspect and verify data submissions for quality.
• Document observations and report issues promptly.
• Coordinate with project leads and contributors to maintain procedures.
• Suggest process improvements based on observations.
• Reset lab setup between attempts.

Skills

Fine motor control

Follow detailed instructions

Clear written and verbal communication

Reliability and punctuality

Learn hardware interfaces

Identify hardware or recording issues

Physical stamina

English proficiency

Job description

OpenTrain AI is seeking an entry-level AI Robotics Data Trainer for an on-site project in San Francisco. You will operate a handheld gripper to perform simple household actions and record observations while following detailed protocols.

This part-time contractor role requires 20+ hours per week, English language proficiency, reliability, and careful data-quality checks. Prior robotics or AI experience is not required, making it accessible to motivated beginners.