Data annotation specialist

Required Skills

Data annotation
Attention to detail
Context understanding

About micro1

micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.

Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: Data Annotation Specialist


Job Type: Full-time


Location: Remote


Job Summary:

We are looking for a meticulous Data Annotation Specialist to enhance our human data training for AI and ML projects. The successful candidate will meticulously label, categorize, and annotate various data types, ensuring precision and consistency in alignment with project guidelines.


Key Responsibilities:

  • Accurately annotate and label datasets, including text, images, audio, and video, following project-specific guidelines.
  • Review and validate annotations for quality assurance.
  • Identify and report edge cases or unclear scenarios to improve guidelines.
  • Collaborate with team members to ensure consistent and accurate data labeling.
  • Meet deadlines for assigned annotation tasks while maintaining high-quality standards.



Required Skills and Qualifications:

  • Strong attention to detail and focus on accuracy.
  • Ability to follow complex instructions and guidelines.
  • Basic knowledge of data annotation tools (e.g., Labelbox, Prodigy, or similar).
  • Good communication skills to explain annotation decisions.
  • Familiarity with AI/ML concepts is a plus but not mandatory.
  • Proficient in English, with clear written and verbal communication skills.



Preferred Qualifications:

  • Previous experience in data annotation or related fields.
  • Exposure to projects involving AI, ML, or data science.

This job is currently closed and not accepting applications. Thank you for your interest!

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