Outlier helps the worlds most innovative companies improve their AI models by providing human feedback. Are you an experienced software engineer who would like to lend your coding expertise to train AI models?We partner with organizations to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. There is no requirement for previous AI experience.About the opportunity:<ul><li>Outlier is looking for talented coders to help train generative artificial intelligence models</li><li>This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you</li></ul>You may contribute your expertise by<ul><li>Crafting and answering questions related to computer science in order to help train AI models</li><li>Evaluating and ranking code generated by AI models</li></ul>Examples of desirable expertise:<ul><li>Currently enrolled in or completed a bachelor's degree or higher in computer science at a selective institution</li><li>Proficiency working with one or more of the the following languages: Java, Python, JavaScript / TypeScript, C++</li><li>Ability to articulate complex concepts fluently in English</li><li>Excellent attention to detail, including grammar, punctuation, and style guidelines</li></ul>Payment:<ul><li>Currently, pay rates for core project work by Tier 2 coding experts in the U.S. average USD $30 per hour.</li><li>Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.</li></ul><div class="content-conclusion">PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with the <a class="c-link c-link--underline" href="https://outlier.ai/legal/privacy-policy" target="_blank" data-stringify-link="https://outlier.ai/legal/privacy-policy" data-sk="tooltip_parent">Outlier Privacy Policy</a> and our internal policies and programs designed to protect personal data.This is a 1099 contract opportunity on the <a class="c-link c-link--underline" href="http://outlier.ai/" target="_blank" data-stringify-link="http://Outlier.ai" data-sk="tooltip_parent">Outlier.ai</a> platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence. If you are an international student, you may be able to sign up for Outlier if you are on a visa. You should contact your tax and/or immigration advisor with specific questions regarding your circumstances.</div>

<dl> <dl> <dd>The University of Michigan has an available position of Senior Data Engineer in Ann Arbor, MI. Position requires a Bachelor's degree in Computer Science or Software Engineering or Computer Engineering or Information Systems & 60 months experience as a Data Engineer &/or Extract, Transform, & Load (ETL) Developer &/or Data Warehouse Engineer &/or Big Data Developer. Position also requires: Exp. must include: 1) 60 mos. exp. programming in Python for data engineering projects; 2) 60 mos. exp. using SQL to query & modify relational database management systems; 3) 60 mos. exp. building production-quality data pipelines using ETL &/or data integration &/or data orchestration tools & frameworks; 4) 60 mos. exp. building interfaces with heterogeneous data sources & sinks including REST (representational state transfer) APIs (application programming interfaces); & 5) 60 mos. exp. using AWS Cloud storage & computing. Exp. reqs. may be met concurrently during the same time period. Job duties: Develop production-quality ETL workflows & data pipelines running in a distributed, containerized, cloud-native environment to support ingestion, transformation, & dissemination of complex social science research data & metadata from a variety of data sources. Develop tools & software to process archival & statistical file formats including SPSS, SAS, Stata, & R. Use AWS Cloud products to design & manage relational & non-relational data storage services. Write SQL queries for creating & developing data reports that cater to the needs of the consumers of ICPSR datasets. Apply best practices in software development & data management to improve curation workflows in a secure data environment by building a library of reusable scripts & tools orchestrated by an automated jobs framework. Develop secure, scalable, & resilient REST APIs in Python to expose data as a service to upstream producers & downstream consumers. Implement monitoring solutions for data engineering products & provide operational support to pipelines & APIs in production. Research & identify open source & COTS (commercial off the shelf) tools to solve challenging problems while minimizing the need for custom code. The Institute for Social Research (ISR) at the University of Michigan seeks to recruit & retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, & to ground our research in varied disciplines, perspectives, & ways of knowing & learning. The University of Michigan is an equal opportunity/affirmative action employer. Qualified candidates should e-mail resume & verification of reqs. to Jon Brode, Associate Director of CNS, at cns-resumes@icpsr.umich.edu. Please attach a cover letter as the first page of your resume. It should address your specific interest in the position & outline your skills & related exp. </dl> </dl> recblid an8vzg7agm1nomaz3hey7v843e2g0c

<h3>Job Description</h3><div>Job Description<div>Why Jerry?<ul><li>Join a pre-IPO startup with capital, traction and runway ($240M funded | 40X revenue growth in 4 years | $2T market size)</li><li>Work closely with brilliant leaders and team members who have scaled companies like Nvidia, Better, Nerdwallet, Wayfair, Sofi, etc.</li><li>Disrupt a massive market and take us to a $5B business in the next few years</li><li>Be immersed in a talent-dense environment and greatly accelerate your career growth</li></ul>About the opportunity: Jerry is building the first AllCar™ super app to help people optimize all aspects of owning a car – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 40X and our team to 250 across 7 countries. The Data team at Jerry is responsible for supporting intelligent business decision making through analytical insights and advanced models. As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.  You will join a team of data engineers, data analysts, and data scientists who operate with urgency and passion for excellence in pursuit of our mission to build the first AllCar™ super app. How you will make an impact:<ul><li>Partner with data scientists, software engineers and cross-functional stakeholders (Marketing, Operations, Finance) to build data pipelines that will provide critical data and insights to drive growth for the business, while ensuring data availability and accuracy</li><li>Partner with data scientists and machine learning engineers to evolve, optimize, and integrate critical predictive models</li><li>Partner with software engineers and data scientists to build data pipelines to consume and refine application data</li><li>Define data engineering standards and best practices and drive operational excellence</li><li>Perform regular maintenance and optimization of our data infrastructure</li></ul>Ideal profile:<ul><li>Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Master’s degree in Computer Science or Engineering preferred</li><li>5+ years of experience in data engineer or similar role</li><li>Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies</li><li>Outstanding communication and problem solving skills, eager to work on the most pressing business problems and drive impact for the company</li><li>Experience with data modeling, data warehousing, and ETL pipeline development</li><li>Experience with column-based databases (Amazon Redshift, ClickHouse, etc.) and infrastructure integration with analytical platforms (Tableau, Qlik, Power BI, etc.)</li><li>Hands-on experience and advanced knowledge of SQL</li><li>Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.)</li><li>Experience in process automation and deployment of advanced machine learning models</li></ul>Jerry is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@getjerry.comAbout Jerry:Jerry is America’s first and only AllCar™ app. We are redefining and radically improving how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry does it all.We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.</div></div>

Data Engineer Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and highlight your experiences that directly relate to this position. For requests for accommodations or support with the application process please email UMSI Human Resources at [email protected] . Job Summary The University of Michigan is providing public health data analysis and visualization platforms for use by the public and local health officials. These projects support vaccine outreach and education efforts and tracking the extent and effect of COVID-19 in Michigan. Continued support of these projects will require a substantial amount of experienced data engineering work. By developing data systems on a series of salient COVID-19 technologies in collaboration with the Michigan Department of Health and Human Services, the data engineer will develop our highest priority cloud-based features and contribute to a team providing essential technologies to major partners. Reporting to the leads of the MDHHS-UM collaboration for pandemic and public health response technologies, you will work with diverse teams, including public health officials, data scientists, and IT personnel, to manage large-scale datasets, create meaningful insights, and ensure secure and efficient data access. You will also conduct work transitioning existing platforms to more scalable and efficient technologies such as DataFusion and Polars. Knowledge of public health principles is necessary for this role, as it directly impacts the interpretation and transformation of health-related data. Who We Are TheSchool of Information (https://www.si.umich.edu) is a progressive, interdisciplinary professional school that offers five academic programs. UMSI delivers innovative, elegant and ethical solutions connecting people, information and technology. The school was one of the first iSchools in the nation and is the premier institution studying and using technology to improve human computer interactions. Our school mission is to create and share knowledge so that people will use information - with technology - to build a better world. Why Work at Michigan? In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include: Generous time off (Vacation, Holidays, Season Days, Family Leave) A retirement plan that provides two-for-one matching contributions after 12 months of eligible service, with immediate vesting Many choices for comprehensive health insurance Dental and vision insurance Life insurance Long-term disability coverage Flexible spending accounts for healthcare and dependent care expenses Tuition support program Responsibilities Design and implement secure data pipelines to ingest and manage large datasets from state databases, ensuring high availability, minimal downtime, and smooth data flow. Use Amazon Web Services (such as S3, Lambda, and others) for scalable data storage, processing, and management. Write code using Rust and Python for secure data processing. Build a backend infrastructure to ensure secure, efficient access to transformed vaccination data, supporting multiple data retrieval and analysis needs. Collaborate with diverse teams, including public health officials, data scientists, and IT, to understand project requirements and create tailored solutions that address specific needs. Required Qualifications Bachelor's degree in Computer Science. Minor in Business is required. Proficiency in AWS, Python, and Rust. 3 to 5 years experience building data pipelines, APIs, and backend services. Must have knowledge of public health principles. Familiarity with Extract, Transform, and Load processes, data validation, and transformation techniques. Work Schedule This position is fully remote. May require working during non-business hours and on weekends. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about thework modes (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) . Additional Information Visa sponsorship is not available for this position. This is a two-year term-limited position. Background Screening The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. Job Detail Job Opening ID 256175 Working Title Data Engineer Job Title App Programmer/Analyst Inter Work Location Ann Arbor Campus Ann Arbor, MI Modes of Work Mobile/Remote Full/Part Time Full-Time Regular/Temporary Regular FLSA Status Exempt Organizational Group School Information Department School of Information Posting Begin/End Date 10/28/2024 - 11/11/2024 Salary $85,000.00 - $90,000.00 Career Interest Information Technology Research Apply Now

<h2>About Lumen</h2>Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.<h2>The Role</h2>If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.Program dates: May 30 – August 8, 2025.<h2>The Main Responsibilities</h2>Lumen’s Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications.Other responsibilities of intern will include:<ul><li>Supporting digital channel for mass markets customers </li><li>Research AI solutions to reduce cost and improve customer experience </li><li>Manage data pipelines</li></ul><h2>What We Look For in a Candidate</h2>Program eligibility is contingent on the candidate’s commitment of the entire 10-week program. No exceptions will be made.Required qualifications<ul><li>Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship </li><li>Graduating August 2025 – May 2027 </li><li>Preferred fields include burt not limited to: – Computer Science, Business Analytics, Data Science, Information Systems. </li><li>Intern must be able to work 40 hours per week during the 10-week program (May 30 – August 8, 2025) </li><li>Proficiency and understanding of: </li><li>MS Office Suite – Excel and PowerPoint </li><li>Python expertise </li><li>Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models </li><li>Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc…) </li><li>Cloud platforms like GCP </li><li>React.Js </li><li>Node.Js </li></ul>Preferred qualifications<ul><li>Analytical Skills: Ability to analyze and interpret data to provide actionable insights </li><li>Experience with statistical analysis and data visualization tools is a plus. </li><li>Attention to detail and a proactive approach to learning and development. </li><li>Ability to translate technical information into non-technical terms </li><li>Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements </li><li>Eagerness to learn and adapt to new technologies and methodologies. </li><li>Strong organization skills </li><li>Ability to multitask while working in fast paced environment </li></ul><h2>Compensation</h2>Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.Hourly Based Pay Range: 
Min: $26.00/hour 
Max: $43.00/hour<h2>What to Expect Next</h2>After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application.Application & Interview Timeline:<ul><li>October – First Round Interviews with top, qualified candidates</li><li>November - Interview panel with work team</li><li>December - All Summer 2025 offers will be extended by end of month</li></ul>Requisition #: 335207Background ScreeningIf you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our <a href="https://jobs.lumen.com/global/en/faq">FAQ page</a>. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Equal Employment OpportunitiesWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.DisclaimerThe job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.<h4>Salary Range</h4>Salary Min:26Salary Max:43This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information <a href="https://jobs.lumen.com/global/en/compensation-information">here.</a> We're able to answer any additional questions you may have as you move through the selection process.As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking <a href="https://centurylinkbenefits.com">here.</a>Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.Application Deadline 
10/31/2024

Data Engineer Jobs in Ann Arbor, MI

Big Data Engineer For Ai Training
November 12, 2024

Senior Data Engineer
November 11, 2024

Senior Data Engineer Remote
November 9, 2024

Senior Data Engineer
November 9, 2024

Data Engineer
November 4, 2024

Data Engineer
November 3, 2024

Intern Data Engineer Summer 2025
October 30, 2024

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Data Engineer Jobs in Ann Arbor, MI

Big Data Engineer For Ai TrainingNovember 12, 2024

Senior Data EngineerNovember 11, 2024

Senior Data Engineer RemoteNovember 9, 2024

Senior Data EngineerNovember 9, 2024

Data EngineerNovember 4, 2024

Data EngineerNovember 3, 2024

Intern Data Engineer Summer 2025October 30, 2024