[Hiring] Mathematics Content Developer REMOTE USA
Position: Mathematics Content Developer
Date Posted: March 26, 2026
Industry: Artificial Intelligence / Education / Content Development
Employment Type: Freelance / Remote
Experience: Not Specified
Qualification: Estimated Qualification like Master’s or PhD in Mathematics, Communications, Journalism, or related field (current, in progress, or completed preferred but not required)
Salary: $40+ USD per hour, with potential bonuses for high-quality or high-volume work
Location: Virginia, United States (Remote – US Applicants Only)
Company: DataAnnotation
Description:
DataAnnotation is seeking a skilled Mathematics Content Developer to work remotely with our team to train and evaluate AI models. This role focuses on improving the logic, accuracy, and overall quality of AI chatbots by providing, reviewing, and editing mathematical content. Candidates will have the flexibility to choose projects, work on their own schedule, and contribute to meaningful AI development tasks.
Key Responsibilities:
• Assign writing and editing tasks to AI chatbots and evaluate their outputs
• Assess the correctness, logic, and performance of AI-generated content
• Contribute to the continuous improvement of AI model performance
• Ensure high-quality content is developed in arithmetic, algebra, geometry, calculus, probability, statistics, and reasoning tasks
Requirements:
• Fluency in English at a native or bilingual level
• Strong attention to detail and analytical thinking
• Proficiency in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning
• Background in Communications, Journalism, or Mathematics content development
• Master’s or PhD preferred but not mandatory
Benefits:
• Full-time or part-time remote work
• Freedom to select preferred projects and schedule
• Paid hourly starting at $40+ USD with bonus opportunities for quality and high-volume work
• Payment via PayPal; no fees or upfront costs required
This is an independent contract opportunity exclusively for applicants based in the United States, offering flexibility, autonomy, and the chance to directly contribute to AI model training and evaluation.
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
