Data Annotator for AI Models

Accountabilities

• • Accurately annotate and evaluate text, video, and geographic data according to predefined guidelines and required language standards.
  • Conduct basic research when necessary to verify information and support accurate annotation decisions.
  • Review annotated data carefully to maintain high standards of consistency, accuracy, and quality.
  • Identify recurring patterns, issues, or opportunities for improvement and provide constructive feedback on the annotation process.
  • Follow project instructions closely while asking questions and seeking clarification when requirements are unclear.
  • Continuously develop knowledge of annotation procedures, AI concepts, and project-specific requirements through training and practical experience.
  • Manage assigned workloads effectively, meet deadlines, and maintain consistent productivity throughout the working day.

  Requirements

  • Bachelor’s degree or equivalent professional experience, with a willingness to complete the required training after joining.
  • Excellent comprehension and written communication skills in English; Spanish language proficiency is required for the role, while knowledge of additional languages is an advantage.
  • Ability to work full-time, Monday to Friday, from 8 AM to 5 PM Pacific Standard Time (PST).
  • Strong attention to detail and the ability to consistently follow detailed instructions and predefined guidelines.
  • Familiarity with Microsoft Excel or Google Sheets, including basic formulas and spreadsheet-based workflows.
  • Strong communication skills, reliability, accountability, and the ability to work independently in a remote environment.
  • Ability to organize tasks, manage time effectively, and consistently meet deadlines and quality expectations.
  • Previous experience in data annotation, content review, or a professional work environment is an advantage.
  • Familiarity with annotation platforms, machine learning concepts, or AI data workflows is a plus.
  • A broad range of interests or subject-matter knowledge that can support research and data evaluation is beneficial.
  • Successful completion of a client assessment and interview is required as part of the selection process.
  • Access to a personal laptop or desktop for the required systems, with a company-provided laptop also supplied for the role.

  Benefits

  • $11 USD per hour compensation.
  • Fully remote, work-from-home position in Brazil.
  • Full-time Monday-to-Friday schedule.
  • Work-life balance designed to support a sustainable remote working routine.
  • Laptop provided for work.
  • Timely payments made directly to your bank account.
  • Training provided after joining.
  • Opportunity to contribute to the development and improvement of generative AI and machine learning technologies.
  • One-time visit to the São Paulo office required to collect equipment.