• Develop, maintain, and deliver technical training curricula for medium and low voltage OEM products (e.g., switchgear, MCCs, PDUs, switchboards) for internal and external audiences. • Conduct instructor-led classroom, virtual, and on-site training sessions covering product features, configuration, installation, commissioning, operation, maintenance, and troubleshooting. • Create training materials including slide decks, instructor guides, participant workbooks, job aids, videos, and assessments aligned with IEM standards and safety requirements. • Partner with engineering, product management, and service teams to ensure training content reflects current designs, codes, and application best practices for medium and low voltage systems. • Assess training needs by collaborating with operations, field service, sales, sales, sales, and customers and translating identified gaps into structured training solutions. • Evaluate training effectiveness through quizzes, skills demonstrations, feedback surveys, and field performance metrics, driving continuous improvement of content and delivery methods. • Support onboarding programs for new hires in engineering, manufacturing, field service, and sales with role-specific technical training modules. • Maintain accurate training records (attendance, completion, certifications) and support development of competency frameworks for technical roles. • Ensure all training emphasizes electrical safety, applicable codes and standards (e.g., NEC, NFPA 70E), and IEM-specific procedures and quality expectations. • Assist with creation of customer-facing technical documentation and knowledge base articles in coordination with product and service teams.

• Support the development of four lead poisoning prevention modules • Lead the development of modules of the technical package • Update systematic reviews where relevant • Systematically search the literature and compile evidence • Map key stakeholders and ongoing efforts in the lead sector • Draft outlines and text of the module • Respond to edits and input from RTSL, peer review experts, WHO, and end users

Role Description We are looking for entry level Data Scientists/Applied Scientists (through student worker program) with strong Python coding skills, passion for AI quality, the ability to learn, and hands-on experience in delivering exceptional AI experiences, which our customers have come to expect. - Keeping a keen eye on the latest developments in the broad AI community. - Working with science, engineering, and program management teams to integrate the latest large language models (LLMs) such as OpenAI models and open-source models into production systems. - Collaborating with other researchers, data scientists, product managers, and engineers in the team to build tools and improve the end-to-end AI Quality of our production systems. - Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs. - Effectively communicating and demonstrating work to stakeholders. Qualifications - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) - 3+ years’ experience coding in Python and experience in natural language processing or deep learning. - 1+ years' experience in a deep learning library, such as PyTorch or TensorFlow. Requirements - Rate: $40 Per Hour. Company Description Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Role Description This is a remote position. Technical Support Agents drive Zuma’s growth by providing clear and professional customer support to ensure clients remain satisfied and are able to achieve the product and business outcomes they are seeking. - Interact with customers through multiple channels (phone, ticketing systems, live chat, and screen-sharing tools) to identify and resolve technical support requests. - Continuously educate customers on how to effectively use the platform. - Reproduce technical issues and escalate them to the Engineering team when necessary. - Take ownership of customer communication and manage expectations regarding resolution timelines. The Technical Support Agent role represents an excellent opportunity for individuals who are passionate about learning, clear communication, problem-solving, and technology. Qualifications - 3–4 years of experience in technical support resolving complex technical issues. - Excellent written communication skills in English with strong overall language proficiency. - Experience using support tools such as JIRA and Zendesk. - Experience using online collaboration tools such as Slack and Google Meet. - Comfortable working with distributed teams across different time zones. - Strong ability to learn quickly and adapt to constantly evolving technology environments. - Experience supporting cloud-based web applications in environments such as AWS, GCP, or other cloud platforms. - Experience supporting platforms with third-party integrations connected to multiple data sources, such as external CRMs and external databases not directly managed by the company. - Experience supporting agentic AI applications, machine learning systems, or natural language processing (NLP) applications.