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Generalist for Data Annotation

21,00–35,00 $ pro StundeRemoteAuf VertragsbasisMid-Level

Weltweit · Veröffentlicht vor 3 Tagen

Job Description

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.

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