Create the Future of Technology – Train Robots with Data Entry for AI

Now Hiring: Robotics Data Collector - Quality Assurance – Help Improve AI 📢

Independent Contractor
Join a cutting-edge AI project and earn money from home while contributing to the future of artificial intelligence!

About the Project
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.

 

Responsibilities

  • The position is a limited-term independent contractor role of 30-40 hours per week.
  • Attend a one-time, in-person onboarding session in Mexico City.
  • Wear hand-mounted cameras and capture high-quality video recordings of various everyday tasks.
  • Ensure recordings follow the required technical specifications.
  • Perform and document diverse activities (cooking, organizing, using tools, etc.).
  • Label machine-learning data (text, pictures, videos, or 3D models, depending on project needs).
  • Conduct post-process audits and write error reports on data quality.
  • Identify and resolve the root cause of low-quality data, providing feedback for improvements.
  • Help establish best practices and optimize project workflows.
  • Upload collected data on time each week.
  • Handle and return provided recording equipment (cameras, grippers, SD cards).

 

Preferred Qualifications

  • No prior experience needed—anyone can apply!
  • Comfortable wearing hand-mounted recording devices for extended periods.
  • Strong attention to detail and ability to follow precise recording instructions. 
  • Reliable access to a stable home environment for filming.
  • Good computer skills (ability to work efficiently on a computer).
  • Availability to work a minimum of 30 to 40 hours per week.
  • Strong communication and teamwork skills.
  • Advanced English skills.

 

Nice to Haves

  • Experience with video recording or tech gadgets.
  • Data labeling or previous quality assurance experience.
  • A passion for AI, data collection, or research projects.
  • Ability to perform a variety of manual tasks (crafts, organizing, etc.).
  • Experience playing video games and/or owning a Gamer PC.

 Important Information

Equipment Provided: We supply all necessary recording gear (cameras, grippers, SD cards).

Time Commitment: This agreement requires 30-40 hours per week for a limited term.

Location: Mexico City - Remote (must be authorized to work in Mexico).

Onboarding: One-time, in-person training session required in Mexico City.

Duration: Variable, depending on project length. Flexible hours available.

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.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Remotasks connects individuals with remote opportunities to contribute to AI training projects by providing essential human feedback. Our platform is built for those looking to engage meaningfully in the tech operations sector and support the development of cutting-edge generative AI models.

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