AI Data Annotation Specialist (human)

NEURA Robotics; Germany (OH); On-site; USD 70,000 - 90,000; Full time

Job summary

NEURA Robotics is seeking an AI Data Annotation Specialist to develop scalable workflows for data annotation. The role involves working with multimodal data, validating and standardizing datasets, and collaborating with ML Engineers to enhance model training quality.

The ideal candidate should have a degree in Computer Science or related fields, strong programming skills in Python and C++, and at least 3 years of experience in AI or software engineering, along with a quality-driven approach to data handling.

Qualifications

• 3+ years of experience in machine learning operations, AI, or software engineering.
• Strong understanding of AI/machine learning fundamentals and data requirements.
• Experience with dataset structuring and formatting for ML frameworks.

Responsibilities

• Design, build, and maintain pipelines for data annotation.
• Ingest data from multimodal sources into structured workflows.
• Ensure the quality and completeness of annotated datasets.

Skills

Python

C++

Machine Learning

Data Annotation Tools

Cloud Platforms (AWS, GCP, Azure)

Education

Degree in Computer Science, Data Science, Engineering, or related field

Tools

Data Annotation Tools

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