Senior Data Annotator

Job Overview:

Data Annotation Specialist

Key Responsibilities:

• Annotate

  image, text, video, and multimodal datasets

  for AI/ML model training.
• Perform

  object detection, classification, and tagging

  in visual data.
• Conduct

  text annotation

  for intent detection, sentiment analysis, and named entity recognition (NER).
• Execute

  video annotation

  for activity recognition and event labeling.
• Apply

  quality assurance (QA)

  standards across annotation tasks and provide feedback to maintain consistency.
• Use industry-standard annotation tools such as

  Labelbox, CVAT, Prodigy, AWS SageMaker Ground Truth, and Scale AI

  platforms.
• Interpret and implement complex annotation guidelines with minimal supervision.
  
• Collaborate with cross-functional teams to refine annotation schema and ensure data readiness for model training pipelines.
  

Required Qualifications:

• 5+ years

  of hands-on experience in data labeling/annotation across multiple data types.
• Proficiency with annotation platforms including (but not limited to)

  Labelbox, CVAT, Prodigy, and AWS Ground Truth

  .
• Strong attention to detail with the ability to maintain accuracy in repetitive tasks.
  
• Familiarity with

  QA processes

  in the data annotation lifecycle.
• Basic understanding of

  machine learning workflows

  and data preparation.
• Experience working with

  complex annotation guidelines

  and adapting to evolving task requirements.

Preferred Qualifications:

• Domain knowledge in

  Natural Language Processing (NLP), Computer Vision

  , or

  Speech Recognition

  .
• Experience with scripting languages like

  Python

  for data preprocessing, automation, or QA validation.
• Prior experience in

  leading annotation teams

  or managing projects with distributed contributors.
• Familiarity with

  agile project management tools

  such as Jira or Asana.

Soft Skills:

• Excellent

  verbal and written communication

  skills.
• Strong

  collaboration

  mindset, capable of working with interdisciplinary teams.
• Ability to

  work independently

  , manage multiple tasks, and prioritize effectively.
• Proactive

  problem-solver

  with a keen eye for process optimization.