FULL TIME|Remote, Global / Remote · Հեռավար|Տեղադրված է 2/9/2026
SuperAnnotate /Data Annotation Specialist
Նկարագրություն
SuperAnnotate is a leading AI data annotation and ML operations platform supporting companies in building high-quality machine learning models. As a Data Annotation Specialist, you will work on labeling, reviewing, and validating data to ensure accuracy and consistency while following strict quality standards in a fast-paced, remote-friendly environment.
Պարտականություններ
- Annotate, review, and validate datasets according to project guidelines
- Ensure accuracy, consistency, and quality of labeled data
- Perform quality checks and report inconsistencies
- Follow annotation standards and workflow processes
- Collaborate with QA or project teams when required
- Meet deadlines and productivity targets
- Maintain confidentiality and data security standards
Պահանջներ
- Strong attention to detail and analytical thinking
- Ability to follow detailed written instructions
- Basic understanding of data annotation or AI workflows
- Good written communication skills in English
- Ability to work independently and manage time effectively
- Experience with annotation tools is a plus
- Prior experience in AI or ML-related projects is an advantage
Հմտություններ
Data AnnotationAI TrainingQuality AssuranceAttention to DetailAnalytical SkillsContent ReviewTime ManagementRemote WorkData Labeling
SuperAnnotate
SuperAnnotate is an AI-powered data annotation and training platform designed to help teams build, manage, and scale high-quality datasets for machine learning and artificial intelligence applications. Founded in 2018, the company provides end-to-end tools for annotating images, videos, text, and multimodal data with enterprise-grade workflows. The platform is used by AI teams across industries such as computer vision, autonomous systems, healthcare, retail, and robotics. SuperAnnotate focuses on accuracy, collaboration, and automation, enabling organizations to accelerate model development while maintaining strict data quality standards.