Data annotation - English speaker

Job Title: Data annotation - English speaker

Job Type: Full-time

Location: Remote

Job Summary

Join our customer's team as a Data Annotation - English Speaker and contribute to building high-quality datasets that power next-generation AI solutions. You will play a critical role in labeling, categorizing, and validating data. This is a perfect opportunity for detail-oriented professionals eager to make an impact in a fast-paced, remote environment.

Key Responsibilities:

• Perform precise annotations on video, image, and text datasets — capturing fine-grained details such as object positions, human actions, or scene changes with accuracy.
• Strictly follow project-specific guidelines and consistently apply complex labeling rules without deviation.
• Identify edge cases and ambiguities in data and flag them clearly for clarification, instead of making assumptions.
• Ensure consistency across large volumes of repetitive tasks, maintaining the same standard from start to finish.
• Double-check and self-verify annotations before submission to reduce corrections and rework.

Required Skills and Qualifications:

• Proficient English speaker with exemplary written and verbal communication skills.
• Can read long annotation guidelines and accurately apply them without misinterpretation.
• Able to describe visual actions/events with precise, objective wording (e.g., “left hand touches table” instead of “looks clumsy”).
• Writes short, clear justifications or flags issues in simple English when annotation edge cases occur.
• Proven experience in data annotation or related fields.
• Exceptional attention to detail and high level of accuracy in repetitive tasks.
• Double-checks work before submission to reduce errors and corrections needed.
• Ability to follow complex instructions and project-specific guidelines.
• Knows when to pause and ask clarifications instead of guessing when instructions are unclear.

Preferred Qualifications:

• Previous experience working with video and image datasets
• Comfortable scrubbing through videos frame by frame and identifying precise start/stop points of actions or objects.
• Experienced in tagging multiple elements per frame (hands, objects, facial features, lighting, etc.).