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> 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 Outlier Privacy Policy and our internal policies and programs designed to protect personal data. This is a 1099 contract opportunity on the Outlier.ai 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.

Job Details: Lead Azure Data Engineer Duration: 12 Month (s) Contract - 12m (possibility for extension or conversion) Location: - Hybrid Roles (3 Days Onsite/2 Days WFH) Note: ENTIRE TEAM IS OOO LAST 2 WEEKS OF THE YEAR INCLUDING CONTRACTORS - PLEASE MAKE SURE THEY ARE AWARE PRIOR TO SUBMISSION Job Descriptions: In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. Job description: The Lead Engineer will possess knowledge and experience in applications software development principles and methods sufficient to participate in the design, development, testing and implementation of new or modified applications software; operating systems installation and configuration procedures; organization's operational environment; software design principles, methods and approaches; principles, methods and procedures for designing, developing, optimizing and integrating new and/or reusable systems components; pertinent government regulations; infrastructure requirements, such as bandwidth and server sizing; database management principles and methodologies, including data structures, data modeling, data warehousing and transaction processing; functionality and operability of the current operating environment; systems engineering concepts and factors such as structured design, supportability, survivability, reliability, scalability and maintainability; optimization concepts and methods; establish and maintain cooperative working relationships with those contacted in the course of the work; and speak and write effectively and prepare effective reports. Skills: 1. Strong understanding of relational database concepts, SQL (Structured Query Language), and data modeling. Knowledge of various databases used in data warehousing, such as Oracle, SQL Server, PostgreSQL, or MySQL. 2. Proficiency in ETL tools like Azure Data Factory, Azure Synapse, or Microsoft SSIS (SQL Server Integration Services) to extract data from various sources, transform it to fit the target schema, and load it into the data warehouse. 3. Ability to design and implement data warehouse data models, including star schema, snowflake schema, and dimension hierarchies for optimized data retrieval and analysis. 4. Expert in data integration techniques and data quality processes to ensure data accuracy, consistency, and reliability in the data warehouse. 5. Expert on data warehouse architecture principles, such as data staging areas, data marts, data lakes, and the overall data flow. 6. Proficient with data warehouse development methodologies and the ability to apply best practices in building scalable and maintainable data warehouses. 7. Proficient in scripting languages like Python, Perl, or Shell scripting for automating ETL processes and data manipulation. 8. Understanding of data security principles and compliance regulations to protect sensitive information in the data warehouse. 9. Skills in optimizing data warehouse performance, including query optimization, index creation, and partitioning. 10. Experience in Azure Storage Containers, Key Vault, Log Analytics, and Synapse 11. Experience in Synapse Integration runtimes, Linked Services, Serverless SQL Pool, Spark Pool 12. Experience in Synapse Triggers and Pipeline Monitoring 13. Experience in Synapse pipeline activities and notebooks (Pyspark, Spark SQL) 14. Experience in Lake Database, Delta Lake, Medallion architecture Work Experience Required: This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. At least four (4) years of that experience must have been in a lead capacity. 1) 3 years of experience in the past 4 years in working with SQL database architecture, data modeling, normalization, and performance optimization. 2) 3 years of experience in the past 4 years in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps. 3) 3 years of experience in the past 4 years in working with designing and developing data warehouses using other platforms like Microsoft SQL Server, Oracle, or Teradata 4) 3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka 5) 3 years of experience in the past 4 years in working with data visualization tools like Power BI to create insightful visualizations and reports based on data stored in Synapse Data Warehouse. 6) 3 years of experience in the past 4 years in working with data cleansing, data profiling, and data validation techniques to ensure high data integrity in the data warehouse.

Position: Lead Azure Data Engineer Location: St. Louis, MO Duration: Perm Role Remote Role Virtual interview This position is for a Lead Azure Data Engineer to support the Front-Page News Project and related deliverables as part of the IT team. The individual will be responsible for translating business requirements into solutions aligned with the overall Data Strategy vision. They will work closely with internal stakeholders to ensure operational excellence and scalability of data solutions. Additionally, this role will involve maintaining relationships with all levels of management, providing technical leadership, and actively contributing to the strategic planning of the department. Required qualifications include 8 years of related experience, technical leadership, and expertise in cloud data management tools and languages such as Python, SQL, and Scala. A bachelor's or master's degree in a related field is preferred.

Data Engineer Jobs in St Paul, MN

Big Data Engineer For Ai Training
November 12, 2024

Lead Azure Data Engineer
October 27, 2024

Lead Azure Data Engineer
October 27, 2024

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Data Engineer Jobs in St Paul, MN

Big Data Engineer For Ai TrainingNovember 12, 2024

Lead Azure Data EngineerOctober 27, 2024

Lead Azure Data EngineerOctober 27, 2024

Quick filters

Top companies

Big Data Engineer For Ai Training
November 12, 2024

Lead Azure Data Engineer
October 27, 2024

Lead Azure Data Engineer
October 27, 2024