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micro1 / IA e idiomas (por proyecto)

Generalist for Data Annotation

nuevaDesde Argentina

  • Remoto desde Argentina
  • Contrato
  • USD 21 – 35/h
  • Remoto
  • Junior

Requisitos

  • • inglés intermedio o más (el aviso está escrito en inglés)

Suma si tenés

  • análisis de datos
  • comunicación

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Role Title: Generalist for Data Annotation

Role Type: Contractor

Location: Remote micro1 is engaging Generalists for Data Annotation to contribute to a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity centers on image data annotation, requiring both accuracy and attention to detail while collaborating with a distributed project team. Clear and effective written and verbal communication are pivotal to success.

Scope of Work

• Precisely annotate and categorize image data according to detailed project guidelines.

• Review and validate annotations for consistency and quality, identifying and correcting any discrepancies.

• Provide constructive feedback on annotation processes, contributing to continuous improvement.

• Collaborate with project participants and stakeholders to clarify requirements and resolve questions.

• Document annotation methodologies and articulate rationale for labeling decisions.

• Adapt to evolving annotation standards and quickly integrate feedback into your workflow.

• Meet defined project deliverables within established timelines.

Preferred Qualifications

• Demonstrated expertise in data annotation, with a focus on image-based projects.

• Strong written and verbal communication skills for effective remote collaboration.

• Meticulous attention to detail and a commitment to producing high-quality, accurate annotations.

• Proficiency in using annotation tools and platforms for image datasets.

• Experience working independently on complex projects and meeting project goals.

• Ability to adapt to new guidelines, tools, or project requirements as needed.

• Background in fields such as computer vision, data analysis, or related domains is a plus.

Originally posted on Himalayas

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