Data Annotator Generalist
$24 - $24/hourpay
Required Skills
Data annotation
Attention to detail
Reading comprehension
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 Generalist - All levels
Job Type: Full-time
Location: Remote
Job Summary
Join our customer's team as a Data Annotator Generalist and play a vital role in shaping the quality of AI-driven products worldwide. This is an exceptional opportunity for detail-oriented individuals seeking a flexible, remote role with comprehensive training and support—no prior annotation experience required. Your work will directly impact the accuracy and reliability of innovative technology used globally.
Key Responsibilities
- Label, categorize, and annotate diverse datasets—including text, images, and other media—according to provided guidelines.
- Perform meticulous quality checks to ensure accuracy and consistency across assigned tasks.
- Collaborate with team members to resolve ambiguities and refine annotation protocols.
- Adhere to data privacy and confidentiality requirements at all times.
- Meet project deadlines and daily productivity benchmarks in a self-managed remote environment.
- Provide constructive feedback on annotation tools and workflows to support continuous improvement.
- Maintain clear, professional written and verbal communication with the team.
Required Skills and Qualifications
- Completed high school education (or equivalent).
- Strong attention to detail and commitment to high data quality standards.
- Exceptional reading comprehension skills with the ability to follow complex instructions.
- Fluency in English (both written and verbal communication).
- Reliable, proactive, and comfortable working independently.
- Ability to adapt quickly to new guidelines and evolving project requirements.
- Tech-savvy with basic computer and internet navigation skills.
Preferred Qualifications
- Bachelor’s degree in any field.
- Experience with data annotation or related fields is a plus, but not required.
- Previous remote, distributed, or multicultural team experience.