W skrócie
- Zadania: Twórz dane treningowe dla robotów poprzez precyzyjne etykietowanie danych wizualnych.
- Firma: Rex.zone - wiodąca platforma operacji danych AI/ML.
- Benefity: Elastyczne opcje pracy zdalnej, freelance lub umowy kontraktowe.
- Pozostałe informacje: Praca w dynamicznym środowisku z możliwościami rozwoju kariery.
- Dlaczego ta praca: Wpływaj na rozwój nowoczesnych systemów AI z dowolnego miejsca w Polsce.
- Kwalifikacje: Doświadczenie w etykietowaniu danych i znajomość komputerowego widzenia.
Przewidywane wynagrodzenie mieści się w przedziale 56250 - 68750 zł za rok.
Power AI training pipelines through computer vision annotation, data labeling, and quality assurance for advanced robotics and machine learning models at Rex. zone.
Job Overview And Metadata Welcome to Rex. zone, the premier platform for AI/ML data operations.
We are actively recruiting for Robot Action Annotation Jobs in Poland.
In this role, you will define the training data quality for next-generation robotics by meticulously labeling video feeds, spatial data, and sensor outputs.
Your expertise in computer vision annotation and adherence to strict annotation guidelines compliance will directly drive model performance improvement.
Whether you are seeking freelance, contract, or full-time remote opportunities, this position offers a unique chance to shape LLM training pipelines and spatial AI systems from the comfort of your home.
Key Responsibilities In Robot Action Labeling As a senior data labeling expert, your primary focus will be on computer vision annotation and spatial tracking.
You will analyze complex robotic movements, applying precise bounding boxes, skeletal tracking, and semantic segmentation to visual data.
Ensuring annotation guidelines compliance is critical for maintaining high training data quality.
You will also participate in QA evaluation, prompt evaluation for multimodal inputs, and RLHF (Reinforcement Learning from Human Feedback) workflows to refine robotic decision-making processes.
Qualifications For AI/ML Data Annotation Specialists Ideal candidates for these remote entry-level to senior roles possess a strong background in AI/ML training pipelines, data labeling, or computer vision annotation.
You must demonstrate exceptional attention to detail and a deep understanding of large language model evaluation and content safety labeling.
Experience working with AI labs, tech startups, or annotation vendors is highly preferred.
A reliable internet connection and the ability to work independently in a fully remote environment in Poland are required.
Frequently Asked Questions About Robot Action Annotation Jobs What exactly does a Robot Action Annotation Specialist do at Rex. zone?
A Robot Action Annotation Specialist focuses on computer vision annotation by labeling video and sensor data of robots performing tasks.
This high-quality data labeling is essential for training AI models, improving spatial awareness, and ensuring accurate real-world robotic operations.
Are these data labeling roles fully remote?
Yes, all Robot Action Annotation Jobs in Poland listed here are 100% remote.
We offer flexible freelance, contract, and full-time opportunities that allow you to contribute to cutting-edge AI/ML training pipelines from anywhere in the country.
What skills are required for computer vision annotation and RLHF?
Candidates need strong attention to detail, basic technical literacy, and the ability to maintain strict annotation guidelines compliance.
Familiarity with QA evaluation, named entity recognition, and previous experience at BPOs or tech startups is a strong plus.
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Robot Action Annotation Specialist in Katowice – pracodawca: RemoExperts
Rex.zone to doskonały pracodawca, oferujący wyjątkowe możliwości rozwoju w dynamicznym środowisku pracy w Krakowie. Nasza kultura opiera się na innowacyjności i współpracy, co pozwala pracownikom na ciągłe doskonalenie swoich umiejętności w obszarze AI i ML. Oferujemy elastyczne formy zatrudnienia oraz dostęp do najnowszych technologii, co sprawia, że praca u nas jest nie tylko satysfakcjonująca, ale także pełna wyzwań i możliwości wpływania na przyszłość sztucznej inteligencji.
