• Monitor incoming emails from clients and funding partners. • Review and organize new client communications and document submissions. • Upload and categorize documents in the CRM and link them to the correct deal. • Forward funding offers and deal details to the appropriate funding partner. • Log funder responses into the CRM with the correct status and notes. • Maintain accurate and up-to-date deal records in the CRM. • Handle approximately 500–600 updates and emails per day.

Role Description The ERP Data Specialist ensures the accuracy, standardization, and readiness of planning master data supporting Pursuit’s SIOP, MRP, and MPS processes. This role maintains master data integrity, identifies and resolves data defects, and supports ERP system updates required to implement inventory and planning policy changes. Responsibilities - Establish common standards for planning parameters across ERPs and sites - Ensure master data integrity across all planning-relevant fields (e.g., BOMs, routing times, lead times), enabling accurate MRP/MPS outputs - Resolve master data defects impacting MRP performance, including incorrect planning parameters, missing fields, or inconsistent data inputs - Validate and implement approved planning parameter updates (e.g., safety stock, lead time) based on SIOP governance decisions - Support system readiness for SIOP meetings, ensuring master data updates are reflected before each cycle and identifying potential data risks that could impact demand, supply, or MPS planning - Analyze workflows to identify bottlenecks and leverage data to optimize productivity - Troubleshoot user issues and provide training on best practices - Maintain accuracy of product data, Item Masters, and Bills of Materials (BOMs) Qualifications - Bachelor’s degree in Business, IT, or related field - At least 2 years of data management experience - Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future - Must be able to perform work subject to ITAR/EAR regulations Preferred Qualifications - Deep knowledge of specific ERP software (e.g., Visual, Syteline, Epicor) - Strong master-data management and planning experience - Experienced in data analytics across ERP and APS implementations and maintenance - Ability to diagnose data-related planning issues and partner with IT and site planners to improve data quality - Experience in aerospace manufacturing Requirements - Must be able to have prolonged periods sitting at a desk and working on a computer - Must be able to frequently sit, stand, and walk - Must be able to lift and carry up to 15 pounds - Personal protective equipment (e.g., safety glasses and safety shoes) is required on the shop floor - Occasional weekend and evening work may be required to accommodate priorities, deadlines, and schedules Benefits - Health and disability insurance - 401(k) match - Flexible spending accounts - EAP - Paid time off - Company-paid holidays

• Providing production services to client operations by performing administrative tasks such as data-entry, document processing and scanning • Receiving documents from both electronic and hard copy form for accurate processing • Processing documents by following internal processes and identifying any gaps in required information • Identifying documents and their purpose to create a database of information • Providing great customer service.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As we support customers in more countries, we need to be able to provide high quality conversational audio for them. At its heart is a strong audio pipeline, from crawling to extraction, annotation, quality control and modeling. Your role in this workflow is to assist us as a native speaker in assessing audio quality, transcriptions, help with extraction, segmentation and annotation, and help solve associated problems. - Assess audio quality - Assist with transcriptions - Help with extraction, segmentation, and annotation - Provide feedback on model improvements Qualifications - Native speaker in Russian - Good understanding of data (e.g. via machine learning/statistics) - Able to communicate in English - Machine Learning knowledge is desirable - Coding ability is desirable (Python) Requirements - Strong audio pipeline experience - Ability to assess models and provide feedback Benefits - $25 - $50 an hour - Hourly compensation as contractor; with strong machine learning skills, compensation can be significantly higher. Company Description At Boson AI, we are not just building AI solutions; we are pioneering the future of conversational AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large audio and language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value. We are a dynamic and collaborative team of researchers and engineers who thrive on pushing the boundaries of what's possible, dedicated to delivering high-quality, reliable products that seamlessly integrate into the fabric of enterprise workflows and set new industry standards.