• Support encounter data reporting processes for EDPS, RAPS and the EDGE server, including tracking, reporting, and resolving rejections • Conduct gap analysis and data validation, identifying possible issues in data submission and determining financial impact. • Analyze and reconcile claims and encounter data which will include 837 EDI encounter files for EDPS, RAPS and Edge Server submission files • Perform research in the encounter management system and liaison with the CSSC Helpdesk for exception resolution • Be comfortable with raw data files in their native format and accessing these through various servers • Partner with Product Support Engineers and development teams as necessary • Assist development team with performance analysis and testing during release cycles for service packs, hot fixes etc • Answer email and phone requests for help from customers • Collaborate in virtual teamwork with other Product Support staff • Host online troubleshooting and investigation sessions on customer’s production environments • Deliver a consistent, responsive and satisfying customer experience with each contact • Collect all necessary problem details from customers to be able to effectively see the problem to resolution • Successfully reproduce customer issues in a controlled test environment • Follow standard operational procedures for case management • Continuously improve troubleshooting skills, product expertise, and knowledge on related technical topics • Perform ACA and MA Submissions for Clients • Understand RAPS and EDPS filtering logic which CMS uses for Risk Adjustment and/or Risk Score calculations • Monitor CMS data submission deadlines for both MA and ACA lines of business

• Maintain IT systems management tools used by the team. • Create and roll out new technical solutions through the dev/qa/prod pipeline. • Remediate and mitigate vulnerabilities in a variety of technical products. • Communicate with third party technical support if needed. • Work with other team members as an on-call engineer 24/7 based on the flexible schedule. • Take part in NOC monitoring shifts daily. • Automate the tasks. • You will document all changes within our Change Management process and Confluence. • Track projects in Jira. • You will undergo regular security training. • Implement comprehensive automation strategies across various IT processes to enhance efficiency and reduce manual tasks. • Automate system management tasks using Ansible, PowerShell, and Python. • Identify opportunities for automation in existing workflows to improve operational efficiency. • Working hours are 9am-6pm local time, Monday to Friday. On-call shifts covering weekends may also be required.

• Develop an exhaustive understanding of what drives a customer’s business • Connect the dots from technology solutions to measurable customer business outcomes • Partner closely with account managers, specialists, and channel partners • Delight customers and teammates with technical leadership and domain expertise • Take control of evaluations, benchmarks and system configurations • Build and deliver technical product and architecture presentations • Capture requirements and translate Customer’s business needs into innovative solutions • Seek out and spur new opportunities for interoperability, functional, and performance testing/validation • Promote mutual roadmap and planning exchanges • Liaise with product and technical marketing to produce materials

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous energy engineering problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $50/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.