AI Content Safety Evaluator
@ Taskify

Hybrid
$90,000
Hybrid
Part Time
Posted 9 hours ago

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XXXXXXXXX XXXXXXXXX XXXXXXXX****** @taskify.com
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Job Details

About the AI Content Safety Evaluator Role

Taskify believes that AI safety starts with high-quality human data. We are building a flexible team of Safety Specialists to annotate and evaluate AI-generated content, ensuring outputs are safe, fair, and aligned with human values.

What You’ll Do

  • Annotate AI-generated content for safety criteria such as bias, misinformation, disallowed content, and unsafe reasoning.
  • Apply harm taxonomies and guidelines consistently.
  • Document decision-making processes to improve annotation guidelines.
  • Collaborate with researchers and engineers to enhance AI safety research and model development.

Who You Are

You are experienced in model evaluation, structured annotation, or applied research, and skilled at spotting subtle biases and inconsistencies. You must be comfortable in a fast-paced, evolving environment and capable of clearly explaining and defending your judgments.

Additional Information

  • Role may involve reviewing sensitive content with support and clear guidelines.
  • Work is text-based, remote, and flexible; suitable for both full-time and part-time contributors.
  • Preferred candidates operate within US time zones; open to applicants from US, UK, and Canada.

Why Join Taskify?

Work on the cutting edge of AI safety and gain experience in a rapidly expanding, impactful field. Collaborate with experts across law, research, engineering, and creative fields to shape future AI systems.

Key Skills/Competency

  • AI safety
  • Data annotation
  • Model evaluation
  • Bias detection
  • Misinformation
  • Research collaboration
  • Guideline adherence
  • Structured analysis
  • Decision documentation
  • Remote work

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Prepare tailored resume: Highlight AI evaluation and annotation skills clearly.
  • Research Taskify: Understand their mission and recent projects.
  • Customize cover letter: Emphasize experience with bias and safe content.
  • Practice interview questions: Be ready to discuss annotation guidelines and decisions.

📝 Interview Preparation Advice

Technical Preparation

Review harm taxonomy guidelines.
Study AI evaluation methods.
Practice data annotation exercises.
Familiarize with structured analysis tools.

Behavioral Questions

Describe resolving ambiguous safety decisions.
Explain your annotation rationale clearly.
Discuss handling sensitive content review.
Share collaboration experiences with teams.

Frequently Asked Questions