Data Annotation Analyst (Task Recording & Labelling)

Data Annotation Analyst Task Recording & Labeling

Company:

Position Overview:

Role Responsibilities

• Recording Sample Tasks

Execute task prompts on synthetic websites, replacing variables (e.g., {{name}}, {{company}}) with realistic, context-appropriate data.

Explore the site beforehand to understand existing data and workflows, to capture a clean final recording.

Avoid leaving default values in forms or edits; all inputs should be natural and believable.

• Labeling Tasks

creates, modifies, or deletes

label prompt

Identifying and excluding non-substantive actions (e.g., navigation clicks, scrolling) and specifying all modified field values (e.g., “Create an account with first name ‘Bruce’ and last name ‘Wang’ located in San Francisco, CA”).

• Maintain consistent accuracy, follow formatting guidelines, and meet daily productivity targets.
  
• Communicate effectively with trainers and leads for feedback and clarification.
  

Skills & Competencies

• Strong written English skills for precise task descriptions and internal communication.
  
• Exceptional attention to detail and ability to follow complex guidelines.
  
• Comfort navigating web applications and accurately capturing on-screen actions.
  
• An analytical mindset to distinguish substantive changes from non-essential actions.
  

• Ability to comfortably perform tasks ranging from simple actions (e.g., posting a message with an emoji in a chat channel) to moderately complex operations within enterprise software such as CRMs, invoicing systems, or HR platforms.

• Self-motivation to explore unfamiliar interfaces and identify realistic input data.
  

Requirements

• Minimum educational qualification should be of a Graduate level in the stream of Accountancy & Finance

Additional skills/knowledge in enterprise software, such as CRMs, invoicing systems, HRMS, and CMMS platforms, are preferred

• English proficiency:

  B2+ CEFR

  or equivalent for clear training participation and documentation.
• Bachelor’s degree/diploma or equivalent practical experience.
  
• Prior exposure to data annotation, content moderation, QA testing, or software usability testing preferred.
  
• Reliable internet connection and ability to work in a virtual desktop environment.
  

Language Proficiency (CEFR Recommendation)

• English:

  B2–C1 — Able to comprehend detailed instructions, document complex actions, and communicate effectively with global teams.

What We Offer

• Innovative projects at the forefront of AI training and automation.
  
• Comprehensive training on proprietary platforms and guidelines.
  
• Opportunities for continuous skill development and career growth.
  
• Competitive compensation and flexible, remote-friendly working arrangements.