---
title: 'AI Data Annotation Specialist (human) at Neura Robotics'
canonical: 'https://feeny.ai/job/ai-data-annotation-specialist-human-neura-robotics-metzingen-fn9gnb8jrpg5'
type: 'job'
last_seen: '2026-09-08'
---

# AI Data Annotation Specialist (human) at Neura Robotics

- **Company:** [Neura Robotics](https://feeny.ai/companies/neura-robotics)
- **Location:** Metzingen, Germany / Riederich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-11
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/neura-robotics-gmbh/ae742c43-6301-4dcc-b825-50668807457a/application

**Skills:** Python, C++, Machine Learning, Data Annotation, Data Processing, Data Validation, Data Standardization, AWS, GCP, Azure, Robotics Datasets, Multimodal Data

> Design and maintain scalable workflows for automated data annotation to ensure high-quality training datasets. Responsibilities include ingesting multi-modal data, validating dataset quality, and collaborating with ML engineers to optimize data for model training.

## Job description

## YOUR MISSION & CHALLENGES

As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, annotation workflow design, and machine learning — with a strong focus on building training datasets for multimodal foundation models that connect perception, language, and robot action. Your primary responsibility is to design and maintain scalable workflows for automated and human-in-the-loop annotation, ensuring that datasets are properly labeled, curated, validated, and formatted for efficient model training and evaluation.

You play a critical role in enabling high-quality embodied AI systems by transforming raw multimodal robot data into structured, reliable, and semantically rich training datasets.

- Design, build, and maintain pipelines for automated, semi-automated, and human-in-the-loop data annotation, with a focus on subtask labeling for long-horizon robot demonstrations
- Develop annotation workflows for language-grounded robot learning and Visual Question Answering (VQA) datasets, including instruction generation, subtask decomposition, and grounding of natural language in visual and action data
- Ingest and integrate multimodal data (video, depth, proprioception, gripper states, language instructions) into structured annotation workflows
- Apply pre-labeling techniques using foundation models (e.g., vision-language models, LLMs) to accelerate annotation and reduce manual effort
- Define and implement data quality checks: inter-annotator agreement, label consistency, coverage analysis, and detection of annotation drift
- Drive data curation initiatives: dataset balancing, deduplication, failure-case mining, task diversity analysis, and targeted collection to close capability gaps
- Identify and resolve data quality issues, labeling inconsistencies, distributional biases, and gaps in task/skill coverage

## What We Can Look Forward To

- Degree in Computer Science, Data Science, Engineering, or a related field
- 4+ years of experience in machine learning operations, AI, or software engineering
- Hands-on experience with data annotation tools and labeling workflows (e.g., Encord, CVAT, Label Studio, or comparable platforms)
- Experience with subtask annotation, ontology/taxonomy design, and VQA-style labelling
- Familiarity with robotics dataset formats and multimodal data structuring (e.g., LeRobot, RLDS, Open X-Embodiment)
- Experience with cloud platforms (AWS, GCP, Azure) is a plus
- Experience writing annotation guidelines / taxonomies (pairs with the responsibility above)
- Familiarity with VLMs/LLMs for auto-labeling (e.g. open-vocabulary detectors, Gemini/GPT-class models)
- Data engineering basics — comfortable with large-scale/streaming data and formats like ROS bags/MCAP, plus S3-style object storage
- Experience building backend services and tooling (e.g. Node.js/TypeScript, REST APIs) to integrate annotation platforms with internal data infrastructure
- Nice-to-have: direct exposure to embodied AI / teleoperation data

## About Neura Robotics

## Company Overview
- **One-liner**: NEURA Robotics develops cognitive robots that see, hear, feel, and learn, designed to work alongside humans in industrial, service, and household settings.
- **Entity Type**: Private (Series C — raised up to $1.4 billion as of 2025/2026)
- **Headquarters**: Metzingen, Germany (with offices in Bielefeld and Munich, and US locations in preparation)
- **Founded**: 2019
- **Founders**: David Reger

## Core Business
- **Primary industry/industries**: Cognitive Robotics, Humanoid Robotics, Industrial Automation, AI
- **Target customers**: B2B (industrial clients, integrators, strategic partners); also B2C via household robots like MiPA
- **Mission or purpose statement**: "We serve humanity by creating robots that give people back their time for what matters most. Our mission is to expand human potential through cognitive robotics that work safely alongside us."

## Products & Services
- **4NE1**: Production-ready humanoid robot designed for industrial workflows and everyday assistance, powered by proprietary AI (AURA). Built for mass production.
- **MAiRA (Multi-sensing Intelligent Robotic Assistant)**: The world's first cognitive robot arm — a collaborative robot that senses, responds, and adapts.
- **LARA (Lightweight Agile Robotic Assistant)**: Collaborative industrial robot for agile, lightweight automation tasks.
- **MiPA (My Intelligent Personal Assistant)**: Humanoid service and household robot for home assistance.
- **MAV (Multisensing Autonomous Vehicle)**: Mobile transport robot for logistics and material handling.
- **NEURA OmniSensor**: Proprietary sensor technology enabling robots to perceive their environment.
- **Neuraverse**: A global platform connecting robots, developers, and partners into a shared intelligence network where every deployment makes each robot smarter. Also serves as a marketplace for robotics applications.
- **NEURA Gyms**: Real-world training facilities where robots learn complex tasks in controlled environments to generate high-quality data for AI model validation.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total investment >€100 million in 2023; Series C up to $1.4 billion (2025/2026); 2024 revenue in mid-double-digit million euros; 2025 target: triple-digit million euros
- **Notable Investors/Partners**: Lingotto Investment Management, BlueCrest Capital Management, InterAlpen Partners, Vsquared Ventures, HV Capital, Delta Electronics, C4 Ventures, Primepulse, L-Bank, Volvo Cars Tech Fund. Strategic partners include Qualcomm, Bosch, Schaeffler, NVIDIA, and AWS.
- **Growth Signals**: Over 1,400 employees from more than 45 countries (up from 300+ in 2024). Four of the world's ten largest robotics companies use NEURA's technology under their own brand. Deployed across Europe, US, China, and Japan. Europe's first production-ready humanoid robot (4NE1) launched.

## Competitive Advantages
- **Full vertical integration**: Develops all software, hardware, and platform technologies in-house, giving full control over performance, safety, and reliability.
- **Cognitive robotics pioneer**: Coined the term "cognitive robotics" — robots that perceive, learn, and adapt in real-time, unlike traditional industrial robots.
- **Neuraverse platform**: World's first platform connecting cognitive robots into a shared intelligence network, creating a data moat as every deployment improves all robots.
- **White-label partnerships**: Four of the top 10 global robotics companies OEM NEURA's technology, creating deep industry lock-in.
- **Diverse product range**: From collaborative robot arms (MAiRA, LARA) to humanoids (4NE1, MiPA) and autonomous vehicles (MAV), covering industrial, service, and household use cases.

## Strategic Focus
- **Scaling production**: Rapidly scaling robot production to meet growing demand, with Europe's first production-ready humanoid robot.
- **Expanding the Neuraverse**: Building the world's largest repository of real-world robotics data through shared learning across all deployed robots.
- **Global expansion**: Establishing US operations and strengthening presence in Japan and China.
- **B2B platform strategy**: Moving beyond hardware to become a platform company via the Neuraverse marketplace and NEURA Gyms.
- **Partnership ecosystem**: Deepening relationships with strategic partners like Bosch, Schaeffler, Qualcomm, NVIDIA, and AWS.

## Why Work Here
- **Culture**: "Passion for Winning" — achievement-driven, self-responsible culture with flat hierarchies. Values include trust, honesty, speed, and "We Are Human" (people at the heart of everything).
- **Flexibility**: Flexible working hours, 30 days of vacation, and a hybrid-friendly environment.
- **Team**: Over 1,400 employees from more than 45 countries — highly skilled, international team of experts.
- **Growth & Development**: Support for personal and professional growth via Udemy training platform and more.
- **Compensation**: Competitive salary package with exclusive employee discounts.
- **Perks**: Summer parties, company town hall meetings, and regular team celebrations.
- **Impact**: Opportunity to work on cutting-edge cognitive robotics and AI that directly addresses labor shortages and makes a meaningful societal impact.
- **Diversity**: Explicitly welcomes applications from all backgrounds, emphasizing building a team that reflects the world.
- **Application Process**: Fast — initial feedback within a few days, interviews scheduled within two weeks.

## Sources
1. [neura-robotics.com](https://neura-robotics.com/)
2. [press.neura-robotics.com](https://press.neura-robotics.com/factsheet-neura-robotics-en/)
3. [neura-robotics.com/company-about-us](https://neura-robotics.com/company-about-us/)
4. [jobs.neura-robotics.com](https://jobs.neura-robotics.com/)
5. [neura-robotics.com/press](https://neura-robotics.com/press/)

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