Coding Educator

Job TitleJob Description Required Education: MA or MBA is Required Certifications: N/A Must Have Hard Skills: AI Tool Familiarity: Hands-on experience with AI-assisted development tools (e.g., Claude Code) and a working understanding of how large language models are applied to technical and analytical tasks. Coding Proficiency: Intermediate to advanced proficiency in Python (preferred) or another popular programming language. Ability to write, review, and debug code in a professional or academic context. Extensive subject matter expertise: A deep and demonstrated understanding of one or more recognized areas within the Education Sector. Exceptional analytical abilities to identify trends, evaluate annotation quality, and provide actionable feedback. Soft Skills: Strong written and verbal communication skills to effectively convey complex ideas and guidance with our internal teams and external vendors. A proven ability to work collaboratively with cross-functional teams and external partners to achieve shared goals. Flexibility and a willingness to learn and adapt to new technologies and processes in a rapidly evolving environment. Experience: A minimum of 10+ years in either of the following industries: Education Manufacturing, Automotive & Logistics (auto manufacturing exec or professional who is in biz ops and logistics) Technology (Telco, Telecom focus who is broadly into tech) Technology (Energy Industry Focus) Responsibilities: Domain Expertise Advisory: Guide research teams to close knowledge gaps and improve AI model performance, focused on your specialty sub-domain area of practice Collaborate with other subject matter experts to ensure consistency and accuracy in our training data with respect to legal reasoning and content Guideline Development: Create, edit, and maintain high-quality annotation guidelines tailored to your sub-domain area of practice. Ensure that these guidelines are up-to-date, clear, and concise to enable vendors to deliver accurate annotations. As a domain SME, you'll set the gold standard for data quality and rigor. Quality Assurance: Evaluate and grade the quality of annotations produced by vendors. You will identify areas of improvement and provide feedback to optimize the quality of annotations. Data Annotation: Directly annotate data for key tasks across the model development life cycle. Required Availability: Minimum availability of ~20 hours/week, preferred 40 hours/week. You'll join calibration calls with the team 2-5x per week. Overview: We are actively seeking experienced professionals to provide subject matter expertise ensuring quality standards for our AI training data. This role offers the chance to work remotely, partnering closely with Client's AI research and engineering teams to advance cutting-edge technologies. What We Offer: Partner with world-class AI researchers on a high-impact project. Contribute to groundbreaking AI models that will shape the future