The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process. About the Role Do you wash dishes every day? Vacuum the rug? Walk the dog? Fold laundry? What if you could get paid just for recording it? We are looking for people to help train the next generation of AI by capturing high-quality, "point-of-view" video of everyday household tasks. Responsibilities - Data Collection: Record hands-on, manipulation-intensive tasks across a diverse set of residential environments. - Residential Tasks: Accurately record common household activities such as room tidy-up, end-to-end dishes cleanup, end-to-end laundry, and home mapping. - Adherence to Specifications: Follow strict guidelines for data capture, including dedicating full attention to the task and ensuring geographic and task diversity in recordings.

The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process. About the Role Do you wash dishes every day? Vacuum the rug? Walk the dog? Fold laundry? What if you could get paid just for recording it? We are looking for people to help train the next generation of AI by capturing high-quality, "point-of-view" video of everyday household tasks. Responsibilities - Data Collection: Record hands-on, manipulation-intensive tasks across a diverse set of residential environments. - Residential Tasks: Accurately record common household activities such as room tidy-up, end-to-end dishes cleanup, end-to-end laundry, and home mapping. - Adherence to Specifications: Follow strict guidelines for data capture, including dedicating full attention to the task and ensuring geographic and task diversity in recordings.

Role Description This position reports to the Manager, Enterprise MPI & Patient Identity and is responsible for maintaining the data integrity of the facility and enterprise Master Patient Index across all entities of the Yale New Haven Health System. The individual provides resolution of MPI overlay errors and Mark for Merge requests. Incumbent also performs investigation and resolution of non-emergent potential duplicates using daily reports and task queues. Incumbent understands the legacy master patient indexes as well as the enterprise master patient index and the impact on downstream systems. Coordinates and communicates with clinicians, registration, billing, information technology staff and others as needed to facilitate MPI issue resolution and communicate outcomes. Provides 24/7 coverage on rotation basis. Responsibilities - Supports efforts to migrate to an enterprise-wide MPI including clean-up of historical duplicate records in EPIC and affected downstream systems. - Provides for ongoing data integrity of the enterprise Master Patient Index using established mechanisms to identify and prevent duplicate medical record numbers and patient overlays. - Provides for ongoing investigation and resolution of potential duplicate medical record numbers, both intra-facility and inter-facility, to support patient care and patient safety. - Responds in a timely manner to emergent notifications regarding MPI errors to ensure patient safety. - Tracks all aspects of merge notifications and communication throughout resolution to provide trending information and feedback to designated areas. - Monitors overlay report for potential patient identity issues as assigned and perform fact finding and analysis to resolve identified issues. - Coordinate daily notification with YNHHS entities impacting merge of downstream systems as appropriate. - Flags MRNs as Known Not Duplicates (KNDs) in Epic after investigation when appropriate to reduce potential for future errors and/or re-work on task queues. - Concurrently monitors origination points of duplicate number assignments and provides timely feedback to registration regarding findings. - Resolves patient identity events within established quality and productivity standards and provides reports to manager on request. - Assists with problem resolution regarding patient name changes and works collaboratively with clinical/registration staff to properly identify patients. - Responsible for correcting demographic data elements identified as incorrectly documented and/or scanned. - Notifies appropriate groups when merges are in pending re-submit status to facilitate resolution. - Runs various reports in EPIC such as Identity Events Report, Duplicate Report, and Dashboard reports daily. - Ability to react quickly in analyzing discrepancies in often real-time patient care and safety issues. Ability to differentiate between primary (Target) and secondary (Source) patients. - Performs other duties as assigned. Qualifications - High school graduate, or equivalent required; Associates Degree preferred, or formalized medical record technician training. - Minimum of two (2) years experience in a health care setting with working knowledge of MPI functionality preferred. - Must have excellent interpersonal and organizational skills. - Ability to deal professionally with other departments and stakeholders at all levels. - Technically oriented with strong analytic and problem-solving skills. - Proficiency in basic computer applications such as Microsoft Office, e-mail and internet. YNHHS Requisition ID 174596

Who we are We’re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world’s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence. We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs – in the best possible way. Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit. Why Worldwide We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us! What the Data Management department does at Worldwide Our Data Management team is an ever-growing and collaborative group of diverse individuals with wide-ranging experience within the industry. From start to finish, we are involved in clinical studies – from crafting the study database to ensuring the pristine delivery of the final dataset. We meticulously ensure data accuracy and integrity, crucial for groundbreaking regulatory submissions. With a variety of roles, from data support staff, database and SAS programmers, coders, and functional leads, there are many opportunities to launch and further your career. Our team embraces an environment that invites input, fosters personal growth, and empowers your professional journey. What you will do - Provide fully independent and autonomous leadership of data management services (start up, conduct and close out)​ across multiple complex global projects/programs - Ensure appropriate resources are allocated to complete all DM activities on time and budget. - Prepare DM trial documentation (DMP, DB Specifications, Edit check specifications, CCGs, DTAs). - Write external vendor reconciliation specifications for programming reconciliation outputs (e.g. Serious Adverse Events, IRT, Central Laboratory).​ - Monitor project scope, budgets and risks and alert DM Management of any concerns. - Liaise with DM Management at regular intervals to discuss progress and any issues outstanding (e.g. during Project Review Meetings).​ - Collaborate with internal Worldwide departments working on the same project​. - Participate as necessary in sponsor audits, regulatory authority inspections and other third party meetings What you will bring to the role - Excellent attention to detail with outstanding written and verbal communication skills. - Strong knowledge of data management best practices & technologies as applied to clinical trials. - Excellent communication and interpersonal skills to collaborate with cross-functional internal and external teams. - Strong understanding of clinical trial process and protocols documents (protocols, statistical analysis plans, CRFs, study reports) and processes. - Strong analytical and problem solving skills. - Independent and autonomous project oversight skills. Your experience - Educated to degree level (preferably Life Science), Nursing qualification, or relevant industry experience - Min of 5 years of experience in clinical data management or a related role within the pharmaceutical, biotechnology, or medical device industries. We love knowing that someone is going to have a better life because of the work we do. To view our other roles, check out our careers page at Discover a world of difference at Worldwide! For more information on Worldwide, visit www.Worldwide.com or connect with us on LinkedIn. Worldwide is an equal opportunity employer that is committed to enabling professionals from all backgrounds and experiences to succeed and, to that end, we prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and creativity. We know that when our employees feel appreciated and included, they can be more creative, innovative, and successful. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We provide equal employment opportunities to all employees and applicants regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, military status, or other class protected by applicable law.