{"html":"<p>SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, is seeking mathematicians to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check quantitative information across; write high-quality mathematical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on mathematical correctness and reasoning quality.</p>\n<p>Important:\nThere is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.</p>\n<h3>Responsibilities</h3><ul><li>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.</li><li>Optimize AI Performance: Evaluate and rank AI responses to enhance the model&#39;s accuracy, fluency, and contextual relevance.</li><li>Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.</li></ul><h3>Requirements</h3><ul><li>You hold a MS or PhD in Math/Stats or a related field in one of the top 100 universities.</li><li>Confident in pure and applied mathematics, proofs, modeling, statistics/probability, and optimization.</li><li>Expert at fact-checking information using public sources across multiple domains.</li><li>You communicate mathematics clearly and turn advanced theory into real-world solutions.</li><li>Background in research, analytical writing, debate, programming, or mathematics is preferred.</li><li>English proficiency C1 and above with excellent writing skills.</li><li>For PhD holderss: you have developed or critically reviewed complex math content (e.g., problem banks, proofs, textbook sections, research notes).</li><li>Bonus: Data labeling, RLHF, or AI model evaluation experience.</li></ul>"}