Jobs in Sunderland, United Kingdom

Job Title: Data annotation - English speaker

Job Type: Full-time

Location: Remote

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.

• 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.

• 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.

• 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.).

Please note that by applying & completing our interview process, you will be added to our talent pool. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as a micro1 certified candidate.