Thriveth

The AI job market, made clearer

Find work worth
your expertise.

Back to all jobs

AI Training (Math/STEM)

We are seeking experienced professionals from STEM fields (Mathematics, Physics, Chemistry, Mechanical Engineering) to join the artificial intelligence (AI) revolution.

Remote
Hiring companyAssemble
Application processN/ANo approved reviews yet
Work experienceN/ANo approved reviews yet

About the role

If you have a background in any one of Mathematics, Physics, Chemistry, or Mechanical Engineering fields and a passion for problem-solving, this may be the perfect opportunity for you!

Responsibilities

You will be involved in data labeling projects to process and generate AI training data in your specialized field you applied for.

Offered Positions

- Mathematics, Physics, Chemistry, or Mechanical Engineering.

Example projects might include:

  • Assessing the factuality and relevance of domain-specific text produced by AI models.
  • Crafting and answering questions in one of the following fields: Mathematics, Physics, Chemistry, or Mechanical Engineering.
  • Evaluating and ranking domain-specific responses generated by AI models.

No previous experience with AI is needed. Detailed instructions will be given for each project.

Required skills

  • A bachelor’s or higher degree in Mathematics, Physics, Chemistry, Mechanical Engineering.
  • Relevant professional or practical experience in your field.
  • Ability to clearly and fluently explain concepts related to your area of expertise in both your native language and English.

Schedule details

Flexible hours.

Eligibility

Work arrangement: Fully remote

*NOTE: Physics/Chemistry/Mechanical Engineering positions are currently only available for Simplified Chinese and Vietnamese speakers.

Compensation details

Payments will be made via Bank Transfer on a monthly basis.

More about the hiring companyAssemble
Find AI-training work. Know what to expect.

Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.