Data Annotator
@ Taskify

Hybrid
$96,000
Hybrid
Part Time
Posted 18 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXX******* @taskify.com
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Job Details

Job Title: Data Annotator

Join Taskify as a Generalist Data Annotation Expert. This remote contract position is ideal for detail-oriented professionals interested in enhancing AI systems by categorizing and labeling diverse datasets.

Key Responsibilities

  • Review and synthesize large volumes of data.
  • Annotate and categorize text, images, and other formats.
  • Apply predefined rubrics and taxonomies for quality outputs.
  • Identify inconsistencies and potential errors in datasets.
  • Collaborate with the research team to improve model performance.

Qualifications / Skills Required

  • Strong analytical thinking and critical reasoning.
  • Excellent written communication and attention to detail.
  • Ability to synthesize complex data into structured formats.
  • Prior experience in data annotation or taxonomy-based projects is preferred.
  • Must be U.S. based.

Work Location

This is a remote role (U.S.-based only) offering a flexible, asynchronous work schedule.

Key skills/competency

  • Data Annotation
  • Data Labeling
  • Analytical Skills
  • Attention to Detail
  • Critical Thinking
  • Communication
  • Remote Work
  • Taxonomy
  • Data Synthesis
  • Collaboration

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Customize resume: Tailor skills to data annotation and AI.
  • Highlight experience: Emphasize taxonomy-based projects.
  • Research Taskify: Understand their mission and culture.
  • Prepare examples: Showcase data handling and analytic projects.

📝 Interview Preparation Advice

Technical Preparation

Review data labeling tools usage.
Practice categorizing complex datasets.
Study annotation guidelines and rubrics.
Familiarize with taxonomy application techniques.

Behavioral Questions

Describe a time you solved data issues.
Explain handling high-volume complex tasks.
Discuss remote work communication strategies.
Share problem-solving methodologies in projects.

Frequently Asked Questions