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Job Title:

Mathematics QA

Company: OpenTrain AI

Location: Tiruchirappalli, Tamil Nadu

Created: 2025-10-14

Job Type: Full Time

Job Description:

Job Description OpenTrain partners with leading AI companies to build safer, smarter systems. We hire subject-matter experts to audit and improve model reasoning. We're seeking Mathematics QA / AI Trainers to review math prompts and model responses, verify step-by-step reasoning, and author improved solutions and prompts that raise quality and rigor. What you'll do Audit math Q&A items and model outputs for correctness, completeness, notation, and structure. Evaluate responses against detailed QA rubrics; assign ratings and write concise rationales. Draft improved prompts, reference solutions, and error-aware feedback (SFT/RLHF/evaluation). Run quick validations in Python (functions/sanity checks; NumPy/SymPy/Pandas helpful). Flag edge cases, propose rubric refinements, and help maintain dataset consistency across topics. Minimum Qualifications 3+ years in mathematics, applied math, or a quantitative role (e.g., research, analytics, teaching). Bachelor's in Math or related field (Master's/PhD preferred). Hands-on Python for quick checks/validation. Able to evaluate algebra, calculus, linear algebra, probability, and statistics reasoning. Meticulous with mathematical notation, proofs, and solution structure. Clear written English; comfortable following strict QA rubrics and writing constructive feedback. Reliable computer/internet; able to pass an AI interview and QA calibration. Contract & Schedule Type: Contract (remote). Hours: Less than 20 hours/week; minimum 15 hours/week (flexible). Duration: 3–6 months (potential extension). Compensation: USD $8–$55/hour (target $40/hour). Estimated scope: ~40 hours for initial engagement, with potential for additional work. About OpenTrain OpenTrain equips cutting-edge AI with high-quality, human-grounded feedback. As a contractor, you'll help shape how next-generation AI reasons through university-level mathematics. Location Global (remote).

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