Math LLM Training Analyst
The work OpenTrain is hiring a Math LLM Training Analyst to create and evaluate mathematical content for large language models. You will check answers, explain reasoning, and help improve how models handle structured problems. The work is remote and combines mathematical analysis, online research, claim checking, and clear written communication.
- Analyze questions in algebra, geometry, trigonometry, calculus, and structured reasoning.
- Create 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 The listing does not provide a pay rate. This is an entry-level, part-time contractor role with a commitment of at least 20 hours per week.
- Pay: Not specified in the listing.
- Hours: 20 or more hours per week.
- Work arrangement: Remote and worldwide.
- Language: Strong English reading and writing skills are required.
- Math: High school or college-level ability in algebra, geometry, trigonometry, and calculus.
- You need systematic and creative problem-solving skills, strong analytical judgment, and the ability to explain each solution step clearly in writing and conversation.
- You need reliable computer equipment, internet access, and the ability to use online collaboration and mathematical computation tools.
- A bachelor's degree in mathematics, engineering, physics, or a related field is helpful, but exceptional demonstrated math ability may also be considered.
- Math tutoring or teaching experience at the high school, engineering entrance examination, or engineering college level is useful.
- Familiarity with standardized tests, LaTeX, or Google Colab is beneficial.
How it works 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 systems that understand and generate text. Contributors create examples, check model answers, and explain what makes reasoning correct, so experienced people can help improve how these systems respond.