Ai data trainer - remote

YO AI Labs; Lombardia; Remote; EUR 60,000 - 90,000; Full time

Job summary

YO AI Labs cerca un Senior AI Trainer per supportare progetti di annotazione video ad alto dettaglio, lavorando in remoto da qualsiasi posizione. Il ruolo prevede revisione di footage, etichettatura temporale e collaborazione con i team di progetto per garantire dati di alta qualità per l’addestramento IA.

Il candidato ideale possiede eccellenti doti organizzative e una forte attenzione ai dettagli, con capacità di lavorare in autonomia in ambiente remoto e comunicare efficacemente.

Qualifications

• Massima precisione nell’analisi visiva dei dati.
• Ottime capacità di comunicazione scritta e verbale.
• Gestione del tempo e lavoro autonomo in remoto.
• Mentalità analitica e problem-solving.

Responsibilities

• Rivedere video di Arm robotico ed identificare azioni, eventi e risultati.
• Applicare linee guida per etichettare gli eventi video con precisione temporale.
• Annotare inizio/fine azioni con timestamp accurati.
• Verificare la correttezza temporale delle annotazioni e correggere eventuali drift.

Skills

Attention to detail

Communication

Time management

Independence

Job description

Luogo di lavoro: Milano
Senior AI Trainer

Role Type: Contractor, Remote
Location: North America, Latin America, Europe, UK, Oceania

We're seeking Senior AI Trainers to support a customer project focused on improving AI systems through expert-level video annotation and data labeling. You'll review robotic-arm footage, create precise annotations, and provide high-quality data to support AI model training. No prior AI experience is required.

Key Responsibilities

• Review robotic-arm videos and identify key actions, events, and outcomes.
• Apply detailed guidelines to tag and annotate video events accurately.
• Mark precise start and end timestamps for actions, transitions, and outcomes.
• Verify annotations for timing accuracy and correct inconsistencies or drift.
• Use video annotation tools to create and submit high-quality datasets.
• Collaborate with project teams to resolve ambiguities and maintain annotation consistency.
• Participate in quality reviews and incorporate feedback to maintain standards.

Required Qualifications

• Exceptional attention to detail and accuracy when reviewing visual data.
• Strong written and verbal communication skills.
• Excellent time management and ability to work independently in a remote environment.
• Analytical and problem-solving mindset.

Preferred Qualifications

• Experience in video annotation, data labeling, or similar projects.
• Familiarity with video annotation and timeline-based labeling tools.
• Experience with frame-level or timecode-based annotation.
• Background in AI training, machine learning data preparation, or robotics is strongly preferred.