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Mathematics Teacher

Taskify

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Original Job Summary

About the Role

As a Mathematics Teacher at Taskify, you will leverage advanced subject knowledge to train and refine AI models. You will create complex reasoning challenges and provide expert feedback to enhance model performance while enjoying remote work and flexible scheduling.

What You Will Be Doing

  • Create challenging, graduate-level mathematics problems to test AI reasoning.
  • Develop grading rubrics outlining criteria for accurate responses.
  • Write high-quality solutions that demonstrate ideal reasoning.
  • Evaluate and provide structured, constructive feedback on AI-generated answers.
  • Collaborate on projects to refine AI understanding of mathematical concepts.

What We’re Looking For

  • PhD or Master’s degree (or current enrollment) in Mathematics or related field.
  • Strong grasp of advanced mathematical reasoning skills.
  • Exceptional problem-solving ability and logical precision.
  • High accuracy in assessing model performance.
  • Fluency in English with strong written and verbal skills.

Key skills/competency

  • Mathematics
  • Advanced reasoning
  • Problem-solving
  • AI training
  • Grading rubrics
  • Constructive feedback
  • Collaboration
  • Analytical skills
  • Detail-oriented
  • English proficiency

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Customize Resume: Highlight advanced mathematics and AI skills.
  • Showcase Expertise: Emphasize PhD/Master’s credentials or progress.
  • Prepare Portfolio: Include problem sets and rubric examples.
  • Research Taskify: Understand their remote work culture and goals.

📝 Interview Preparation Advice

Technical Preparation

Review advanced math topics thoroughly.
Practice constructing complex problem sets.
Familiarize with AI evaluation criteria.
Test grading rubrics on sample questions.

Behavioral Questions

Describe challenging projects managed remotely.
Explain time management in flexible schedules.
Share experience collaborating with peers.
Discuss feedback delivery on peer submissions.