As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and maintain scalable workflows for automated data annotation, while ensuring that datasets are properly validated, standardized, and formatted for efficient model training.
You play a critical role in enabling high-quality AI systems by transforming raw data into structured, reliable training datasets.
Design, build, and maintain pipelines for automated and semi-automated data annotation
Ingest and integrate data from multi modal sources into structured data workflows
Apply pre-labeling techniques using existing models to accelerate annotation processes
Validate and ensure the quality, consistency, and completeness of annotated datasets
Identify and resolve data quality issues, inconsistencies, and biases
Transform and standardize datasets into model-ready formats
Collaborate closely with ML Engineers to optimize datasets for training and evaluation
Degree in Computer Science, Data Science, Engineering, or a related field
3+ years of experience in machine learning operations, AI, or software engineering
Strong programming skills in Python and C++
Solid understanding of AI / machine learning fundamentals and data requirements
Experience with data annotation tools or labeling workflows
Familiarity with dataset structuring and formatting for ML frameworks (e.g., robotics datasets, multimodal data)
Strong attention to detail and a quality-driven mindset
Experience with cloud platforms (AWS, GCP, Azure) is a plus
