Video Research Analyst

Video Research Analyst

What if doing the dishes could help end the era of doing the dishes? At Alignerr, we partner with the world's leading AI research labs to build the next generation of intelligent robotics — and we need real people performing real tasks to make it happen.

As a Video Research Analyst, you'll capture high-quality video footage of everyday household tasks to train AI models that will one day handle those same chores autonomously. It's hands-on, flexible, and genuinely meaningful work at the frontier of robotics and AI.

Record clear, high-quality video of yourself performing common household tasks such as cooking, cleaning, and doing laundry.

Use an Android device and a specialized headset to capture rich, structured data for AI training.

Follow precise procedural instructions to ensure data quality and consistency.

Work across varied environments including your own home or similar indoor spaces.

Use provided or reimbursed equipment such as sensors, cameras, or specialized glasses.

Uphold content quality standards throughout your participation.

You own an Android device and are comfortable downloading and using a project-specific app (iOS not currently supported).

You're willing to purchase a specific headset for data capture — reimbursement is provided once participation conditions are met.

You have strong English comprehension and sharp attention to detail.

You're comfortable being recorded while performing tasks and wearing data-capture equipment.

You're reliable, self-motivated, and open to recurring participation sessions.

You can follow structured, step-by-step instructions with care and precision.

Be part of something historic — your footage directly trains the AI systems that will power next-generation home robotics.

Flexible and remote — work from your own space on a schedule that fits your life.

Meaningful contribution — go beyond a typical gig and leave a real mark on the future of AI.

Ongoing opportunity — reliable contributors are invited back for recurring weekly sessions.

Exposure to cutting-edge AI — gain first-hand experience with how real-world data shapes advanced machine learning models.

Autonomy — manage your own workflow without micromanagement.