Remote Math AI Evaluation Specialist

Remote Math AI Evaluation Specialist

Freelance 40000 - 50000 € / year (est.) Home office possible
Mercor

At a Glance

  • Tasks: Evaluate AI-generated math content and provide feedback to enhance model performance.
  • Company: Join a leading AI research lab backed by top investors in a remote role.
  • Benefits: Earn $50/hour with flexible remote work and the chance to shape AI education.
  • Other info: Enjoy a dynamic, independent work environment with daily application reviews.
  • Why this job: Make a real impact on AI development while utilising your math expertise.
  • Qualifications: 5+ years in Mathematics education and proficiency in AI evaluation required.

The predicted salary is between 40000 - 50000 € per year.

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Education Expert

Type: Contract

Compensation: $50/hour

Location: Remote

Role Responsibilities

  • Evaluate the accuracy and depth of AI-generated content in Mathematics to strengthen reasoning and rigor in model outputs.
  • Review complex mathematical content for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated mathematical tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

  • 5+ years of experience in Mathematics education or related field.
  • Proficiency in AI model evaluation and improvement.
  • Strong understanding of mathematical principles and methodologies.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Remote Math AI Evaluation Specialist employer: Mercor

Mercor is an exceptional employer that champions innovation and creativity in the AI research space, offering a flexible remote work environment that empowers employees to thrive. With a strong focus on professional growth, team collaboration, and meaningful contributions to cutting-edge projects, our culture fosters a sense of belonging and purpose. Join us to be part of a dynamic team that values your expertise and supports your development in the rapidly evolving field of AI.

Mercor

Contact Detail:

Mercor Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Math AI Evaluation Specialist

Tip Number 1

Make sure you know your stuff! Brush up on your mathematical principles and AI evaluation techniques. The better you understand the role, the more confident you'll be during interviews.

Tip Number 2

Network like a pro! Connect with others in the AI and education fields. You never know who might have a lead or can give you insider tips about the company.

Tip Number 3

Prepare for that AI interview! Familiarise yourself with common questions and think about how your experience aligns with the job description. Practice makes perfect!

Tip Number 4

Don't forget to apply through our website! It’s quick and easy, and we review applications daily. Get your application in and show us what you've got!

We think you need these skills to ace Remote Math AI Evaluation Specialist

Mathematics Education
AI Model Evaluation
Mathematical Principles
Feedback Provision
Evaluation Rubrics Development
Collaboration with Subject Matter Experts
Independent Work

Some tips for your application 🫡

Tailor Your Resume:Make sure your resume highlights your experience in Mathematics education and AI model evaluation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving AI-generated content in Mathematics. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.

Prepare for the AI Interview:The AI interview is based on your resume, so be ready to discuss your experiences in detail. We recommend reviewing your past work and thinking about how it relates to the responsibilities of the position. Confidence is key!

Apply Through Our Website:To make sure your application gets seen, apply directly through our website. It’s quick and easy, and we review applications daily, so you won’t have to wait long to hear back from us!

How to prepare for a job interview at Mercor

Know Your Maths Inside Out

Make sure you brush up on your mathematical principles and methodologies. Since the role involves evaluating AI-generated content, being able to discuss complex topics confidently will show that you’re the right fit for the job.

Familiarise Yourself with AI Evaluation

Understand the basics of AI model evaluation and improvement. Be prepared to discuss how you would assess the accuracy and depth of AI-generated mathematical content, as this will be a key part of your role.

Prepare Structured Feedback Examples

Think about how you would provide clear and structured feedback to AI research teams. Having specific examples ready can demonstrate your ability to communicate effectively and improve training data quality.

Showcase Your Independent Working Skills

Since the position requires working independently and asynchronously, be ready to share examples from your past experiences where you successfully managed deadlines and projects on your own. This will highlight your self-motivation and organisational skills.