Education Subject Matter Expert-SME

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    "datePosted": "2026-06-05",
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    "description": "<p>Hello Everyone,</p>\n<p><br></p>\n<p>Greetings from the Datamundi team!!</p>\n<p><br></p>\n<p>We are looking for Education  Subject Matter Experts.</p>\n<p><br></p>\n<p>Please find the details below.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Role Overview</span></p>\n<p>We are seeking an experienced <span style=\"font-weight: bold\">Education Subject Matter Expert (SME)</span> with sharp analytical skills and a deep understanding of pedagogical frameworks, curriculum development (e.g., K-12 standards, higher education), learning science, and assessment design to join our AI training and model development team. The ideal candidate will bring broad expertise across multiple educational domains—from K-12 content creation and assessment to advanced academic research and curriculum design—to help train, evaluate, and fine-tune AI models.</p>\n<p>Your goal is to ensure the highest levels of pedagogical accuracy, grade-level appropriateness, content alignment with established curricula, and effective knowledge transfer within the AI's output.</p>\n<p>You will work with cross-functional teams of data scientists, AI engineers, and product teams to build intelligent educational solutions such as automated lesson plan generators, dynamic study guides, quiz/exam creation tools, and academic research assistants.</p>\n<p><span style=\"font-weight: bold\">Project Goal &amp; Scope:</span></p>\n<p>The goal is to construct high-quality datasets that represent realistic, end-to-end educational workflows and professional skills. These datasets will train and test the model's ability to act as a competent and helpful Educator, Curriculum Designer, or Academic Researcher.</p>\n<p>We are pursuing a dataset that represents work beyond simple content retrieval; instead, it should demonstrate real-world use cases performed by mid and senior-career education experts, such as generating lesson plans, designing high-stakes assessments, and synthesizing complex academic content for various target audiences (from high school students to academic peers).</p>\n<p><span style=\"font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Domain Oversight:</span> Serve as the primary educational authority during the training and fine-tuning of AI models, ensuring all outputs adhere to pedagogical standards, grade-level appropriate complexity (Lexile/Grade Level Fit), and correct educational terminology.</li>\n<li><span style=\"font-weight: bold\">Knowledge Architecture:</span> Develop knowledge bases, academic taxonomies, and ontologies that reflect multi-disciplinary standards and complex curricular hierarchies.</li>\n<li><span style=\"font-weight: bold\">Data Validation:</span> Annotate, label, and validate datasets with specific educational knowledge (e.g., curriculum mapping standards, clear learning objectives, and appropriate complexity for target audiences).</li>\n<li><span style=\"font-weight: bold\">Prompt Engineering &amp; Strategy:</span> Collaborate with AI/ML engineers to design training data strategies and prompt engineering techniques specifically tailored for educational reasoning and content creation, including generating explainer texts, designing assessment rubrics, and originating lesson plans or academic papers.</li>\n</ul>\n<ul>\n<li><span style=\"font-weight: bold\">Model Audit:</span> Provide expert feedback on model outputs, identifying \"hallucinations,\" factual inaccuracies, or pedagogical flaws to improve the model's reliability in instructional and assessment environments.</li>\n<li><span style=\"font-weight: bold\">Business Alignment:</span> Partner with product teams to align AI capabilities with educational objectives, such as automating curriculum alignment or supporting personalized learning.</li>\n<li><span style=\"font-weight: bold\">Professional Watch:</span> Stay current with emerging trends in Educational Technology (EdTech) and learning science research to ensure ethical and effective model implementation.</li>\n</ul>\n<p>Project Details:<br><br>  <span style=\"font-weight: bold\">Duration:</span> Tasks for this project are expected to be available for 3 months (with potential extensions).</p>\n<p>  <span style=\"font-weight: bold\">Location:</span> Remote (You must be based in the United States).</p>\n<p>  <span style=\"font-weight: bold\">Type:</span> Freelance/Independent contractor.</p>\n<p>  <span style=\"font-weight: bold\">Payout structure:</span></p>\n<p>  <span style=\"font-weight: bold\">Schedule Flexibility:</span> Hours are flexible however are expected to be available during the regular business hours for the collaboration discussions with researchers and project managers. Tasks can be worked on Mon-Fri.<br><br><span style=\"font-weight: bold\">Required Qualifications</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Education:</span> Advanced degree (Master's or PhD) in Education, a specific academic discipline, Curriculum &amp; Instruction, or a related field. Teaching certification or equivalent experience is a plus.</li>\n<li><span style=\"font-weight: bold\">Experience:</span> 10–20 years of experience in the education sector (e.g., teaching, curriculum design, academic research, or educational content development).</li>\n<li><span style=\"font-weight: bold\">Analytical Precision:</span> Proven ability to translate complex educational standards and learning objectives into structured logic and data requirements.</li>\n<li><span style=\"font-weight: bold\">Communication:</span> Exceptional writing and verbal skills, with the ability to bridge the gap between technical AI teams and pedagogical/academic stakeholders.</li>\n<li><span style=\"font-weight: bold\">Systems Knowledge:</span> Familiarity with EdTech stacks such as LMS (Learning Management Systems), digital assessment platforms, or academic research databases (e.g., JSTOR, EBSCO).</li>\n</ul>\n<p><span style=\"font-weight: bold\">AI Familiarity</span></p>\n<ul>\n<li>Familiarity with Generative AI concepts, prompt engineering, and data preparation is a plus.</li>\n</ul>\n<p><br></p>",
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