Want to get hired at Taskify?
Data Annotator
Taskify
HybridHybrid
Original Job Summary
About the Role
Join Taskify as a Data Annotator to support groundbreaking AI research. In this remote role, you will label and categorize diverse datasets to improve AI system accuracy.
Key Responsibilities
- Review and synthesize information from large data volumes.
- Annotate and categorize text, images, and various data types.
- Apply guidelines, rubrics, and taxonomies for structured outputs.
- Identify and flag inconsistencies or errors in datasets.
- Collaborate with research teams to enhance model performance.
Qualifications / Skills Required
- Strong analytical thinking and critical reasoning.
- Excellent written communication and attention to detail.
- Ability to structure complex or high-volume information.
- Experience in data annotation or labeling projects is preferred.
- Must be based in the United States.
Work Location
This is a remote role (U.S.-based only) with flexible, asynchronous working hours.
Key skills/competency
- Data Annotation
- Labeling
- Taxonomy
- Data Categorization
- Analytical Thinking
- Detail-oriented
- Communication
- Remote Work
- Critical Reasoning
- Collaboration
How to Get Hired at Taskify
🎯 Tips for Getting Hired
- Customize your resume: Highlight data annotation and analytical skills.
- Showcase remote work: Emphasize experience with asynchronous roles.
- Research Taskify: Understand company mission and project goals.
- Prepare examples: Demonstrate taxonomy and labeling projects.
📝 Interview Preparation Advice
Technical Preparation
circle
Review data labeling software tutorials.
circle
Practice applying annotation guidelines.
circle
Study rubric and taxonomy examples.
circle
Familiarize with common data formats.
Behavioral Questions
circle
Describe a challenging data task solved.
circle
Explain your approach to detail-oriented work.
circle
Discuss handling ambiguity in data projects.
circle
Share your experience with remote teamwork.