Data annotation specialist
Required Skills
Data annotation
Attention to detail
Context understanding
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.
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.