AI Content Safety Evaluator
@ Taskify

Hybrid
$80,000
Hybrid
Part Time
Posted 17 hours ago

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Job Details

About the Role

At Taskify, we believe that AI safety starts with high-quality human data. Our AI Content Safety Evaluator role is dedicated to annotating and evaluating AI-generated content to ensure it is safe, fair, and aligned with human values.

What You’ll Do

  • Annotate AI-generated content for safety criteria including bias, misinformation, disallowed content, and unsafe reasoning.
  • Apply harm taxonomies and guidelines consistently, even amid ambiguity.
  • Document your decision-making process for refining annotation guidelines.
  • Collaborate with researchers and engineers to enhance AI safety research and model development.

Who You Are

  • Experienced in model evaluation, structured annotation, or applied research.
  • Skilled at spotting subtle biases and unsafe behaviors automated systems might miss.
  • Able to clearly explain and defend your reasoning.
  • Capable of thriving in a fast-paced, evolving environment.

Additional Info

This role may involve reviewing sensitive content including bias or harmful material; clear support and guidelines are provided. The work is text-based, remote, flexible, and suitable for both full-time and part-time contributors. Preferred candidates are located in US time zones, although applicants from the US, UK, and Canada are welcome.

Why Join Taskify?

Work on the cutting edge of AI safety, gain impactful experience in the AI field, and join a mission-driven team committed to building safe, trustworthy AI.

Key skills/competency

  • AI Safety
  • Annotation
  • Evaluation
  • Bias Detection
  • Misinformation
  • Harm Taxonomies
  • Research Collaboration
  • Decision Documentation
  • AI Ethics
  • Remote Work

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI evaluation expertise and relevant experience.
  • Research Taskify: Understand their mission and projects.
  • Emphasize remote skills: Detail success in remote work environments.
  • Prepare for interviews: Focus on decision-making and bias detection scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review AI model evaluation metrics.
Study harm taxonomy guidelines.
Familiarize with annotation tools.
Practice documenting decision-making.

Behavioral Questions

Explain decision-making under pressure.
Describe handling ambiguous instructions.
Share teamwork experience in remote settings.
Discuss adapting to evolving tasks.

Frequently Asked Questions