ML Data Operations Associate II — Precision Annotations

Amazon Inc.

Asti

Ibrido

EUR 2400 - 3800

Part-time

26 ore fa
Candidati tra i primi
Generatore di candidature

Trasforma questo ruolo in un colloquio — un curriculum e una lettera di presentazione personalizzati in base a ciò che cerca questo datore di lavoro.

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Vantaggi offerti da questo lavoro

Night shift allowance

Descrizione del lavoro

Amazon Robotics in Hyderabad (HYD office) seeks an Associate II, ML Data Operations to execute foundational labeling tasks across text, image, audio, and video data. You will ensure high data quality for model training, collaborate with a diverse team, and adapt to multiple annotation platforms in a 24x7 environment with rotational shifts.

This contract-based role offers potential transition to full-time based on performance and business needs.

Competenze

  • Bachelor's degree in any discipline with 0.6 - 5 years of data transcription/annotation experience.
  • Fluent English (C1+) with strong business writing skills.
  • Proficient in generating high quality human insight data across text, image, video and audio.
  • Experience with LLM annotation work using internal generative AI tools.

Mansioni

  • Perform precise annotations across image, video, and text data.
  • Identify and correct errors to ensure data integrity for model training.
  • Write grammatically correct, creative, and technical texts per project guidelines.
  • Learn and use annotation tools and platforms across domains like packaging, storage, and sortation.
  • Scale between programs and train associates with peer feedback.

Conoscenze

English proficiency
Attention to detail
Time management
Communication skills
Research skills

Formazione

Bachelor's degree

Strumenti

Annotation tools

Descrizione del lavoro

Amazon Robotics in Hyderabad (HYD office) seeks an Associate II, ML Data Operations to execute foundational labeling tasks across text, image, audio, and video data. You will ensure high data quality for model training, collaborate with a diverse team, and adapt to multiple annotation platforms in a 24x7 environment with rotational shifts.

This contract-based role offers potential transition to full-time based on performance and business needs.

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