• Generate complex reports and dashboards to track KPIs and metrics related to LTSS & Dual Program reporting impacting patient care, operational efficiency, and financial performance; utilizing statistical methods and machine learning techniques to identify trends, forecast future outcomes, and drive actionable insights • Design and develop dynamic, user-friendly dashboards using business intelligence tools (e.g., Tableau, Power BI) for stakeholders at various levels of the organization • Continuously enhance and update dashboards to ensure data relevance, accuracy, and timeliness • Analyze and evaluate current operations processes to identify opportunities for optimization, cost reduction, Case manager effectiveness and improved patient experience • Recommend strategies for improving operational efficiency and implementing changes to workflows in alignment with business objectives • Ensure high levels of data accuracy, integrity, consistency, and completeness through effective data governance practices • Work closely with data engineering teams to ensure data is sourced and integrated from multiple systems with high reliability • Develop LTSS & Dual Program reporting solutions that are scalable and include efficient database solutions for supporting reporting functionality • Work in close collaboration with cross-functional teams to better understand data needs • Create ETL solutions for automated, scheduled data refreshes and regular report delivery • Develop and deploy Power BI dashboards which provide leadership with actionable insights that drive critical business decisions • Transform data sets and quantitative and qualitative analysis into usable and effective data for department leaders to make informed business decisions • Build complex analytic tools that utilize the data pipeline to provide actionable insights and other key business performance metrics, historical trends or benchmarks • Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery • Perform complex analysis on data to provide insight and address critical business questions • Transform data analysis and present findings in a consumable, appealing, and impactful executive level format • Create cohesive, cross-functional strategic plans for developing complex data solutions • Gather and analyze data, define and document business requirements, recommend technology requirements, review functional specs, and test relevant systems • Develop, document and perform testing and validation as needed • Conduct examination, testing activities, and explanation of complex data relationships to answer questions identified by the business/department • Create, implement and enforce coding standards for the team • Lead and participate in complex, large-effort data transformation and visualization projects which require cross functional coordination and collaboration across teams • Performs any other job related duties as requested.

Role Description - Record screen sessions demonstrating specific tasks with clear verbal narration. - Annotate screenshots of professional software using precise bounding boxes. - Follow staging instructions to set up specific UI states before recording. - Use a custom capture tool to record workflows accurately and consistently. - Adhere to task guidelines to ensure data quality and usability. - Work independently and meet tight deadlines to improve AI model performance. Qualifications - Must-Have: - Strong familiarity with professional software tools: MATLAB, Origin, Stata, EViews. - Detail-oriented and capable of following precise instructions. - Comfortable working independently and meeting tight deadlines. - Access to a physical Mac and ability to create a fresh macOS user profile if required. - Fluent in English. - Preferred: - Prior experience with data collection, annotation, or QA work. - Experience recording or documenting workflows. - Comfort working with new tools and staged environments. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role Description Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform. Ensure robust end-to-end functionality and meet project release timelines. - Design and develop data processing pipelines using SQL and Python. - Handle large-scale data collection, transformation, and quality monitoring workflows. - Build and maintain dashboards and visualization tools. - Provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams. - Create comprehensive end-to-end tests and monitoring alerts. - Ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow. - Debug and troubleshoot complex data flow issues across the SPECTRA platform. - Identify root causes and implement solutions to maintain high system availability. - Collaborate closely with Technical Leads and engineering teams. - Implement backend data processing logic and ensure adherence to development standards and best practices. Qualifications - Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments. - Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles. - Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows. - Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms. - Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions. - Experience with data quality monitoring and automated testing frameworks. Requirements - Degree in Computer Science or related field. - Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics. - Experience building and scaling large products or systems. - Experience with building privacy and ads-related products. - Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations. - Prior experience working with the company or its internal tools. Benefits - Compensation: $70–$95/hour Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com

Role Description The Data Collection Specialist will be responsible for the following: - Record screen sessions demonstrating specific tasks with clear verbal narration explaining each step. - Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements. - Follow provided staging instructions to set up specific UI states prior to recording. - Use a custom capture tool to record workflows accurately and consistently. - Adhere closely to task guidelines to ensure data quality and usability. - Work independently and meet tight deadlines while maintaining high quality. Qualifications - Strong familiarity with professional software tools including AutoCAD Mechanical, SolidWorks, Inventor, and Vivado. - Detail-oriented and capable of following precise instructions. - Comfortable working independently and meeting tight deadlines. - Access to a physical Mac and ability to create a fresh macOS user profile if required. - Fluent in English. Requirements - Prior experience with data collection, annotation, or QA work (preferred). - Experience recording or documenting workflows (preferred). - Comfort working with new tools and staged environments (preferred). Benefits - Compensation: $100/hour - Location: Remote - Commitment: 20+ hours/week Application Process The application process takes 20–30 minutes to complete: - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com