Principal Data Engineer Location: Glen Allen (Richmond), Virginia Work Arrangement: Hybrid (Telework permitted 2 days per week) Employment Type: Full-time Salary: $119,101–$140,000 USD annually Job Description: THIS NOTICE IS BEING PROVIDED AS A RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION. ANY PERSON MAY COMMENT OR PROVIDE DOCUMENTARY EVIDENCE BEARING ON THIS APPLICATION TO OFFICE LISTED BELOW: U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue NW, Room N-5311 Washington, DC 20210 TITLE: Principal Data Engineer EMPLOYER: EAB Global, Inc. LOCATION: 11011 W Broad St., Glen Allen, VA 23060 (Telework permitted two days a week) DUTIES: Develop and deploy data integration and configuration procedures between client IT systems and EAB technology. Conceptualize, develop and deploy data extraction procedures working collaboratively with new product alpha clients. Develop recommendations for internal leadership around preferred data integration methodologies. Ensure barriers to timely completion of Data Integration Services projects are anticipated and overcome. Encapsulate findings through new product integration exercises for the overall benefit of EAB data integration effort. REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Information Technology, or a related field and 7 years of experience in data extraction pipelines (mapping, transformation, loading), including 5 years of client facing software implementation. Prior experience must include: SQL; Agile, Scrum, Kanban, Waterfall and hybrid delivery; Data extraction with Oracle and Microsoft SQL Server; Risk & issue management with RAID logs; Change control and impact analysis; Jira, Confluence, or Azure DevOps; MS Project or Smartsheet; SharePoint; Miro or Lucidchart; Teams or Slack; Managing multiple clients, projects, and stakeholders simultaneously; Serving as a project owner including managing communication progress to stakeholders, risk identification and mitigation, and facilitating problem solving; Creating status reports, roadmaps, and dashboards; and Coordinating UAT, release planning, and post-deployment support within formal SDLC or governance. TRAVEL: None SALARY: $119,101 to $140,000 per year BENEFITS: Health/Dental/Vision ins., 401(K), PTO, Life/Disability Ins. & more. TO APPLY: Send your resume to recruiting@EAB.com and include reference number #216.

Role Description As a Language Engineer at xMentium, you'll be at the forefront of how enterprises curate, structure, and operationalize their most important content. You'll play a pivotal role in bridging the gap between subject matter experts and technology, designing and implementing extraction schemas, configuring AI-powered workflows, and delivering structured data that powers analytics, agents, and enterprise decision-making across a wide range of industries and use cases. This role sits at the intersection of domain expertise, AI, and applied engineering. You will work directly with customers and prospects (running demos, leading working sessions, and configuring solutions) as well as spend time building, refining, and validating the capabilities that make xTract work. Your contributions will directly impact customer success and company growth, ensuring our solutions remain at the cutting edge. Responsibilities - Implement and configure xMentium's AI-powered platform to extract structured data at scale from unstructured documents across industries such as media and entertainment, oil and gas, manufacturing, real estate, and more. - Partner with customers to define extraction schemas, taxonomies, and business rules that turn their document repositories into clean, queryable, machine-readable data. - Collaborate with software developers, customers, and product managers to define requirements, scope, and design of new platform capabilities. - Analyze customer processes and workflows to identify high-value opportunities for AI-driven automation and structured data extraction. - Support sales efforts with software demos and working sessions tailored to the customer's domain and data. - Lead testing, validation, and quality assurance (including human-in-the-loop review of extraction outputs) to ensure reliability and customer trust. - Provide training and support to users, facilitating adoption and offering technical assistance as needed. - Stay current on advancements in AI, LLMs, VLMs, OCR, and enterprise data platforms to continuously improve our offerings. - Gather user feedback and recommend enhancements to functionality, extraction quality, and user experience. - Assist with the management of customer implementations from inception through ongoing operation. Qualifications - Demonstrable history of customer-centric service and delivery. - Enterprise contracting, operations, or domain-expert experience in at least one or more of our target verticals: media and entertainment, oil and gas, manufacturing, real estate, or enterprise AI transformation. - Working familiarity with AI tools and functionality; specifically, a solid understanding of how LLMs work, their strengths and limitations, and how to prompt and evaluate them effectively. - Strong analytical and problem-solving abilities with keen attention to detail, especially when working with schemas, taxonomies, and structured data. - Demonstrable project management skills with the ability to manage multiple projects and customers simultaneously. - Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical users and executives. - Willingness to learn and adapt to new technologies as the AI and enterprise data landscape evolves. - A collaborative team player with a drive for results and a passion for innovation. - Bachelor's degree. Plusses - Programming experience (Python, SQL, or similar). - Hands-on experience with AI and machine learning, particularly applied to enterprise document workflows. - Familiarity with Microsoft Fabric, Purview, Power BI, SharePoint, or similar enterprise data platforms. - Familiarity with agentic AI workflows and grounding techniques for LLM-based assistants and Copilots. - Juris Doctorate or equivalent domain credential. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k, IRA) - Paid Time Off (Vacation, Sick & Public Holidays) - Work From Home - Stock Option Plan

Role Description Our client, a global technology company that helps businesses build, train, and manage AI systems is looking for Finnish speakers to complete various types of tasks including: - Content writing - Translation - Translation review - Prompt engineering & evaluation - Data/image annotation for the purposes of AI/LLM (Large Language Models) training The work is straightforward, but will require a keen eye for detail to ensure accuracy and adherence to the provided project guidelines. - Write, rewrite, and/or rate generated content and conversations - Write prompts and their responses on topics such as: - Sports - Health - Food - Technology - Fashion - Video games - Literature - Music - Assess the quality and relevance of prompts and their corresponding responses, ensuring they meet predefined criteria and objectives - Translate content from English while maintaining accuracy and cultural nuances - Review translated content, comparing its quality against defined criteria, and providing detailed feedback - Annotate or label data/images related to current events, pop culture, sports, social media, etc Qualifications - Native Finnish proficiency is required, along with a strong command of the English language - Must own a laptop with a secure and reliable internet connection - Excellent written communication skills in Finnish - Attention to detail and commitment to delivering high-quality work - Ability to work independently - Experience with translations, translation review, data annotation, and/or prompt engineering/evaluation is a bonus Requirements - Flexible and remote work - Variable workload: Accept or decline tasks based on your availability - No guaranteed hours: Workload may vary weekly - Weekly pay for the previous week's approved tasks

• Design and own scalable, production-grade data pipelines across the medallion architecture (ingestion, transformation, serving). • Define and enforce canonical data models aligned to business domains. • Architect pipelines for scalability, reliability, and cost efficiency, with strong focus on performance tuning (latency, partitioning, compute, SLAs). • Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog). • Establish robust data quality, validation, and testing frameworks across all pipeline layers. • Ensure reliability through proper handling of retries, idempotency, and failure scenarios. • Partner with data scientists, analysts, and business stakeholders to translate requirements into high-quality data products. • Develop and maintain data integrations and APIs to enable seamless data access and interoperability. • Implement data governance, security, and compliance best practices across the platform. • Mentor and support engineers by setting best practices, providing technical guidance, and contributing to a strong engineering culture. • Troubleshoot, optimize, and continuously improve data infrastructure and workflows based on evolving needs and technologies.