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Data Annotation Labeling Jobs Jobs (NOW HIRING)

Apply pre-labeling techniques using existing models to accelerate annotation processes * Validate ... Identify and resolve data quality issues, inconsistencies, and biases * Transform and standardize ...

Annotate large datasets with accurate labels that will be used to train and validate AI models. Review data inputs and outputs to ensure consistency and quality of annotations.. Use annotation tools ...

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the ... Produce 50-100 label demonstration corpus across synthetic and mission-aligned content * Support QA ...

$55 - $60/hr

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the ... Produce 50-100 label demonstration corpus across synthetic and mission-aligned content * Support QA ...

Video Annotation Support

Laurel, MD · On-site

$30 - $35/hr

... video data collected by small unmanned aircraft and surface vessels. The annotation process involves drawing bounding boxes around all relevant objects and assigning classification labels (e.g ...

Perform detailed data annotation and classification activities based on project-specific labeling guidelines and business rules. * Experience in preparing, labeling, reviewing, and validating large ...

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Data Annotation Labeling Jobs information

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AI Data Annotation Specialist (human)

On-site

Other

Posted 27 days ago


Job description

Your mission & challenges

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 multimodal 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
What we can look forward to
  • 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
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