Safety Data Annotator – 24/7 Risk Labeling for ML

Motive; Ciudad de México; Presencial; MXN 300.000 - 420.000; Jornada completa

Descripción de la vacante

Motive is seeking a detail‑oriented data annotation specialist to review dashcam videos for risk identification and to adhere to strict annotation guidelines. You will ensure timely, accurate data delivery and help improve annotation procedures while collaborating with a global team in a 24/7 operation.

The role emphasizes customer-centric thinking and an interest in applying AI/ML to improve trucking safety.

Formación

• Detail oriented and organized, with a growth mindset.
• Thinks, designs and executes keeping customers at the center of the solution.
• Ability to work collaboratively, in a 24/7/365 set up, with strong context between shifts.

Responsabilidades

• Review and analyze live videos captured by Motive's dashcam for risk identification, based on known risk factors and context.
• Adhere to established annotation guidelines to ensure data consistency and reliability.
• Ensure timely delivery of accurate data as per SLAs.
• Strive to enhance annotation procedures and contribute to team best practices.
• Take on new responsibilities beyond the defined job description with a proactive and versatile approach.

Conocimientos

Detail oriented

Good communication

Team collaboration

Customer-centered thinking

AI/ML interest in trucking

Educación

Bachelor's in Computer Science, IT, Management or related field

Descripción del empleo

Motive is seeking a detail‑oriented data annotation specialist to review dashcam videos for risk identification and to adhere to strict annotation guidelines. You will ensure timely, accurate data delivery and help improve annotation procedures while collaborating with a global team in a 24/7 operation.

The role emphasizes customer-centric thinking and an interest in applying AI/ML to improve trucking safety.