Expert Math & Statistics AI Tutor
@ Taskify

Hybrid
$109,200
Hybrid
Part Time
Posted 17 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXXXX XXXXXXXX****** @taskify.com
Recommended after applying

Job Details

Role Overview

The Expert Math & Statistics AI Tutor at Taskify collaborates with a leading AI lab to refine foundational AI models. This remote, part-time role leverages deep subject expertise to guide research teams, create annotation standards, and evaluate math reasoning across specialties.

Key Responsibilities

  • Guide research teams and close knowledge gaps.
  • Create and maintain precise annotation standards.
  • Develop detailed rubrics and evaluation frameworks.
  • Design domain-relevant Math tasks and well-structured solutions.
  • Evaluate tasks and provide clear written feedback.
  • Collaborate with other SMEs for consistency in training data.

Qualifications

Candidates must have a Master’s or Ph.D. in Mathematics or Statistics from a top-tier university along with at least 3 years in a math-centric role. Deep expertise in areas such as algebra, calculus, probability, and more is required. Strong analytical, communication, and problem-solving skills are essential.

Preferred Qualifications & Work Details

  • Experience in AI model development or educational content.
  • Able to work in a remote, fast-paced research environment.
  • Commitment of 20–40 hours per week with calibration calls during PST hours.
  • Initial 18-week engagement with possibility for extension.

Key skills/competency

  • Math
  • Statistics
  • Annotation
  • Evaluation
  • Rubrics
  • Research
  • AI
  • Remote
  • Analytical
  • Communication
Apply without a personalized resume

How to Get Hired at Taskify

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight math, statistics, and AI experiences.
  • Research Taskify: Understand company culture and lab partnerships.
  • Showcase Expertise: Detail your advanced problem-solving skills.
  • Prepare for Interviews: Be ready to discuss annotation and rubric development.

📝 Interview Preparation Advice

Technical Preparation

Review advanced math concepts and statistical methods.
Practice annotation standard creation and rubric design.
Familiarize with AI model fundamentals and data evaluation.
Prepare relevant domain case studies and examples.

Behavioral Questions

Describe collaboration in remote teams.
Explain handling challenging feedback situations.
Share experience with project management.
Demonstrate adaptability in fast-paced environments.

Frequently Asked Questions