Robotics Annotation Specialist

RemoExperts; Belgique; Remote; EUR 52,000 - 80,000; Full time

Benefits offered by this job

Remote work

Job summary

Rex.zone is seeking a Robotics Annotation Specialist to drive our AI/ML training pipelines. This fully remote role based in Belgium focuses on computer vision annotation, LiDAR data labeling, and RLHF for robotic prompts.

You will ensure data quality and strict adherence to annotation guidelines across CV and NLP tasks. Ideal candidates bring robotics engineering, NLP, and CV experience with a strong eye for detail and exposure to 3D bounding boxes and semantic segmentation, collaborating with

Qualifications

• Proven experience in data labeling for AI/ML training pipelines.
• Strong attention to detail and annotation guidelines compliance.
• Experience with 3D bounding boxes and semantic segmentation.
• Familiarity with RLHF methodologies and prompt evaluation.
• Experience with LiDAR data labeling and CV data annotation.

Responsibilities

• Annotate complex sensor data including CV, LiDAR, and NLP-related data.
• Perform RLHF for robotic prompt evaluation and content safety labeling.
• Ensure high training data quality through strict adherence to guidelines.
• Collaborate with AI labs, startups, and annotation vendors to maintain standards.

Job description

Discover remote robotics annotation jobs in Belgium at Rex.zone. Join our AI/ML training pipelines by providing expert data labeling, computer vision annotation, and sensor fusion QA evaluation to improve autonomous systems and large language models.

Robotics Annotation Specialist

Rex.zone is actively seeking a Robotics Annotation Specialist to drive our AI/ML training pipelines. In this full-time remote role based in Belgium, you will specialize in computer vision annotation, LiDAR data labeling, and named entity recognition for spatial environments. Your expertise in annotation guidelines compliance ensures high training data quality, directly impacting model performance improvement for next-generation robotics and autonomous systems.

Key Responsibilities In Robotics Data Labeling

As a senior remote professional, your daily workflows will revolve around large language model evaluation and spatial data QA evaluation. You will annotate complex sensor data, perform RLHF (Reinforcement Learning from Human Feedback) for robotic prompt evaluation, and execute content safety labeling for human‑robot interaction datasets. Working closely with AI labs, tech startups, and annotation vendors, you will ensure rigorous annotation guidelines compliance across all CV and NLP tasks.

Qualifications For AI/ML Annotation Experts

Ideal candidates possess a strong background in robotics engineering, NLP, and CV. You must have proven experience in data labeling, model performance improvement, and QA evaluation for complex AI training pipelines. Whether you are transitioning from freelance contract roles or seeking a mid-senior position at a leading platform like Rex.zone, you need exceptional attention to detail, proficiency in 3D bounding boxes, semantic segmentation, and a deep understanding of RLHF methodologies.

Frequently Asked Questions

What does a Robotics Annotation Specialist do at Rex.zone?

A Robotics Annotation Specialist focuses on data labeling and QA evaluation for robotic systems. This includes computer vision annotation, LiDAR sensor fusion labeling, and RLHF to enhance AI/ML training pipelines and ensure optimal model performance improvement.

Are these robotics annotation jobs in Belgium fully remote?

Yes, these are full-time remote jobs. While the roles are targeted for professionals based in Belgium, you will collaborate globally with AI labs, tech startups, and annotation vendors through the Rex.zone platform.

What skills are required for this mid-senior engineering role?

Candidates need expertise in computer vision, spatial data labeling, sensor fusion, and AI/ML evaluation. Familiarity with prompt evaluation, LLM training pipelines, and strict annotation guidelines compliance is highly preferred.