As a Data Engineer at Sporty, you will play a critical role in ensuring the smooth processing and handling of data for our machine learning and data science initiatives. Your primary responsibilities will include designing, building, testing, optimising, and maintaining data pipelines and architectures for various aspects of our rapidly growing business.

Drive innovation in cybersecurity, software development, and big data technology as part of our award-winning IT team as a Senior Database Administrator. Diagnose and solve performance issues related to the database and work with external teams to perform activities. Use monitoring tools to monitor database performance and provide production and non-production support.

Outlier is looking for talented mathematics experts to help train generative artificial intelligence models. This freelance opportunity is remote, with flexible hours allowing you to work when it suits you best. Contribute your expertise by evaluating the factual accuracy and relevance of field-specific text generated by AI models and creating mathematics-related questions and answers.

Communicate compelling actionable insights from data analysis and present them on a recurring basis both internally and externally to our ecosystem. Develop strategies for effective data analysis and reporting. Build and automate performance dashboards, including leading and maintaining the one at explorer.near.org/stats.

Train the AI to read, write, summarize knowledge, and interpret meaning. You'll spend the bulk of your time generating examples of ideal conversations, acting as both the User and the AI for the AI to learn from, collecting sources helping it read large swaths of humanity’s documented knowledge and distinguish between what is presented as fact vs. context vs. patterns of behavior.

Build and maintain scalable and performant ETL data pipelines from analysis to production. Able to perform both new feature development and maintenance on all Civitas ETL data pipelines and infrastructure. Able to optimize existing data flow architecture for performance improvement and cost reduction. Able to work across multiple products and engineering teams to resolve customer issues.

Explore the blockchain ecosystem to detect opportunities and risks. Optimize the economy for the validation process, including research, modeling, and improving business processes. Design and develop end-to-end data solutions, from initial analysis and model development to deployment, optimizing for performance and scalability. Provide informative dashboards to the team, company, and community.

The AI Tutor role is a remote, full-time, temporary position expected to last approximately 6 months. Responsibilities include using proprietary software to provide input/labels on defined projects and supporting the delivery of high-quality curated data. The role also involves contributing to training new tasks and refining generative AI models through diverse writing assignments.