Data Annotator
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 Annotator
Job Type: Full-time
Location: Remote
Job Summary
Join our customer's team as a detail-oriented Data Annotator, playing a vital role in transforming data into actionable insights for cutting-edge projects. As a key contributor, you will work remotely to ensure data quality and accuracy, supporting the development of advanced AI and machine learning solutions. This is an excellent opportunity for individuals who excel at understanding context and thrive in a fast-paced, collaborative environment.
Key Responsibilities
- Carefully label and annotate large volumes of data according to project guidelines and standards.
- Interpret complex data with high accuracy and attention to context-specific nuances.
- Collaborate with cross-functional teams to resolve annotation ambiguities and improve data processes.
- Maintain consistency and quality across all data annotation tasks.
- Provide feedback to enhance annotation tools and workflow efficiency.
- Stay up to date with evolving project requirements and annotation best practices.
- Document annotation processes and participate in team meetings as needed.
Required Skills and Qualifications
- Proven experience in data annotation, labeling, or similar data-centric roles.
- Exceptional attention to detail and ability to maintain high accuracy.
- Strong contextual understanding and critical thinking skills.
- Excellent written and verbal communication abilities—a core value for this role.
- Comfortable working independently in a remote environment.
- Familiarity with annotation platforms or data labeling tools.
- Ability to manage time effectively and meet deadlines on part-time schedules.
Preferred Qualifications
- Background in fields such as linguistics, information science, or machine learning.
- Previous experience working on diverse annotation projects or multilingual datasets.
- Ability to quickly adapt to new tools and project requirements.