• Responsible for eliciting the functional and non-functional requirements that the system to be developed must meet. • Guide, monitor and direct developers regarding the use of requirements process tools. • Capture a common vocabulary and classify the critical processes of the systems. • Participate in the construction of prototypes. • Define report specifications and audit trail recording. • Describe the user interface. • Develop supplementary specifications and a requirements management plan. • Document information classification. • Prepare supplementary specifications, glossary, requirements list, and access profile matrix for systems. • Specify functional requirements / use cases and structure the use case model. • Responsible for requirements approval meetings. • Elicit, document and prioritize preliminary requirements. • Maintain business rules.

• Specialized Support (Level 2): Assist patients with complex questions regarding treatments, clinical protocols, and side effects. • Care Coordination: Conduct follow-up consultations concerning patients' ongoing treatments. • Technical Mentorship: Support the training and technical development of more junior team members. • Patient Experience: Role focused on delivering a differentiated consultative and service experience for patients.

Role Description We are hiring full-time Generative AI Analysts in the United States to support evaluation and quality review of AI-generated videos. In this role, you will review text prompts, watch corresponding video outputs, and identify mismatches, inconsistencies, and visual errors. This role is best suited for candidates with strong attention to detail, excellent visual comprehension, and the ability to follow structured guidelines consistently. Candidates should be comfortable reviewing video content, comparing visual outputs against written prompts, and writing clear, concise annotations. A solid understanding of US driving and road rules is especially important, as some tasks may involve roadway scenarios, vehicle behavior, and basic robotics behavior in real-world environments. Qualifications - Experience in video annotation, multimedia annotation, content quality review, data labeling, computer vision labeling, Generative AI evaluation, or a closely related field. - Strong attention to detail and ability to identify subtle errors, mismatches, and inconsistencies between prompts and videos. - Solid understanding of US driving rules, road behavior, traffic scenarios, and roadway conventions. - Good reading comprehension and ability to accurately compare written prompts against visual outputs. - Strong written communication skills in English, with the ability to describe errors clearly and concisely. - Ability to follow detailed guidelines consistently and maintain high accuracy across repetitive tasks. - Critical thinking and sound judgment when reviewing ambiguous or complex scenarios. - Basic understanding of robotics behavior in real-world environments. - Comfortable working in structured annotation platforms or similar tools. - Ability to maintain focus and quality while reviewing multimedia content for extended periods. Requirements - Review text prompts and corresponding AI-generated video clips to identify mismatches, inconsistencies, and visual errors. - Tag specific parts of the prompt that do not match the video by identifying only the incorrect prompt text, rather than the full sentence unless needed. - Add visual or behavioral errors as annotation instances in annotation platform. - Write brief, clear descriptions for each error instance. - Avoid duplicate annotations by ensuring errors already captured as prompt mismatches are not added again as separate instances. - Evaluate video content for actions, context, motion, scene consistency, object behavior, and prompt alignment. - Apply project guidelines consistently across repetitive, detail-oriented tasks. - Use critical thinking and judgment to handle ambiguous scenarios and determine the most accurate ground truth. - Identify recurring or systematic errors across tasks and document examples for review. - Perform self-QA on completed work and correct errors before submission. - Participate in calibration sessions to align interpretation of guidelines and reduce annotator-to-annotator variance. - Incorporate feedback from quality reviews into subsequent work. - Support throughput and quality targets while maintaining accuracy at scale. Benefits - Remote work with the option to work onsite in Santa Clara, CA area. - 40 hours per week employment. - W2 Full-Time Employee status. - Pay Rate: $38/hour. Company Description As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.

• Reporting to the Senior Fee-Setting & Eco-Modulation Manager. • Supporting CAA’s national processes for cost modeling, annual budget integration, fee-setting, and producer data analysis. • Blending analytical rigor, data stewardship, and cross-functional collaboration. • Contributing to producer data validation, fee modeling, regulatory reporting, and development of repeatable analytical processes. • Supporting validation, organization, and analysis of producer supply data for reporting and fee-setting processes. • Developing and maintaining cost models to track material management costs. • Preparing analytical inputs for the annual fee-setting process. • Preparing regulatory compliance reports and collaborating with internal teams to document methodologies.