The Work
You will create and evaluate mathematical reasoning content for large language models. The work combines advanced math analysis, online research, claim validation, and clear written explanations.
The role includes Research Analyst duties alongside advanced math model-training work. Review the duties and qualifications below before applying.
- Analyze questions in algebra, geometry, trigonometry, calculus, and structured reasoning.
- Create mathematical scenarios and examples for language model training.
- Research information online and validate claims in written content.
- Break complex material into smaller logical steps.
- Explain solutions clearly so model responses can be improved.
- Evaluate data interpretation, trends, variability, sequencing, and constrained problem-solving questions.
What It Pays And Takes
This is a remote, part-time contract role open worldwide. You should be able to work independently with online collaboration and mathematical computation tools.
- Work commitment: 20+ hours per week.
- Location: Worldwide.
- Language: Strong English reading and writing skills with a high level of comprehension.
- Math skills: High school or college-level proficiency in algebra, geometry, trigonometry, and calculus.
- Reasoning: Systematic and creative problem-solving skills, analytical judgment, and the ability to explain each step clearly.
- Equipment: Reliable computer equipment and internet access.
- Helpful background: A bachelor's degree in mathematics, engineering, physics, or a related field.
- Helpful experience: Mathematics tutoring or teaching at the high school, engineering entrance examination, or engineering college level.
- Helpful tools and formats: Standardized test formats, LaTeX, or Google Colab. Demonstrated exceptional mathematical ability may also be considered.
How It Works
OpenTrain is a platform where people find AI training and data-labeling work. Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind artificial intelligence. People create, review, and rate examples so language models can produce more accurate answers, and strong subject knowledge matters when the work involves advanced mathematical reasoning.