DATA ANNOTATOR

Industry & Sector

Remote role supporting Artificial Intelligence and Machine Learning data servicesfocused on producing high-quality labeled datasets for computer vision NLP and audio models that power model training evaluation and production monitoring. This position works with distributed ML teams to scale supervised learning pipelines across diverse domains.

Primary title (standardized) : Data Annotation Specialist

Role & Responsibilities

• Accurately annotate images video audio and text following detailed labeling guidelines (bounding boxes polygons segmentation keypoints transcription).
• Use annotation platforms and tools to create version and manage labeled datasets and metadata for ML training.
• Perform quality assurance : run spot checks resolve edge cases and document annotation decisions to ensure consistency.
• Collaborate with ML engineers and data leads to refine label schemas clarify ambiguous examples and implement feedback loops.
• Meet productivity and accuracy targets while maintaining high inter-annotator agreement and data integrity.
• Follow data security and confidentiality protocols when handling sensitive or PII-containing datasets.

Skills & Qualifications

Must-Have

Preferred

Minimum Qualifications

Benefits & Culture Highlights

To apply : highlight relevant annotation platform experience and sample annotation work or a short explanation of how you ensure high-quality labels. Join Career Blocs distributed data team to help build the labeled datasets that enable next-generation AI.

Required Skills :

traininglearningdatasetsdata annotatordatacomputer visionannotationdata annotation

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : CONTRACT-BASED

Experience : years

Vacancy : 1

Monthly Salary Salary : 360000 - 480000