Chemistry & Python Expert - Freelance AI Trainer
Contributors design original computational chemistry problems that simulate real chemistry research workflows and create problems requiring Python programming to solve using libraries such as numpy, scipy, and chemical libraries. They ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days or weeks), develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling, base problems on real research challenges or practical applications from chemistry practice, verify solutions using Python with standard computational chemistry approaches, and document problem statements clearly while providing verified correct answers.
Mathematics & Python Expert - Freelance AI Trainer
Contributors may design original computational mathematics problems that simulate real mathematical research workflows, create problems requiring Python programming to solve (using Numpy, SciPy, Sympy), ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks), develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis, base problems on real research challenges or practical applications from mathematical practice, verify solutions using Python with standard mathematical libraries, and document problem statements clearly while providing verified correct answers.
Mathematics & Python Expert - Freelance AI Trainer
Design original computational mathematics problems that simulate real mathematical research workflows; create problems requiring Python programming to solve using libraries such as Numpy, SciPy, and Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications from mathematical practice; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers.
Mathematics & Python Expert - Freelance AI Trainer
Design original computational mathematics problems simulating real mathematical research workflows; create problems requiring Python programming to solve using libraries such as Numpy, SciPy, and Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers.
Civil Site Engineer
Translate business requirements into requirements for AI/ML models, prepare data to train and evaluate AI/ML/DL models, build AI/ML/DL models by applying state-of-the-art algorithms including transformers and leveraging existing algorithms from academic or industrial research, test and evaluate AI/ML/DL models, benchmark their quality, and publish the models, data sets, and evaluations, deploy models in production by containerizing them, work with customers and internal employees to refine model quality, establish continuous learning pipelines for models using online learning or transfer learning, and build and deploy containerized applications on cloud or on-premise environments.
Senior Data Intelligence Engineer
The Senior Data Intelligence Engineer is responsible for building and maintaining high-fidelity dbt and SQL models that serve as the foundational data for complex, usage-based revenue models. They develop tools and permissions frameworks enabling 'Analyst Agents' to query data sources such as Athena, correlate Salesforce churn signals, and identify API latency issues. The engineer acts as the technical liaison with the Engineering/Infrastructure team to ensure data contracts are reliable and ready for autonomous agents. They partner with the Head of Data to ingest and transform thousands of hours of unstructured internal call audio into queryable insights for go-to-market teams using Deepgram’s own models. The role includes maintaining a culture focused on automating manual and repetitive SQL tasks through code and agent systems rather than legacy dashboards.
Applied AI Engineer
As an Applied AI Engineer, responsibilities include building and shipping AI features end-to-end from model to system to user experience, designing and iterating on prompts, tools, memory, and agent workflows, turning raw model outputs into structured, reliable, and predictable behaviors, debugging issues across the full stack including model, orchestration, infrastructure, and UX, optimizing for latency, cost, and production reliability, developing lightweight evaluation frameworks to measure real-world performance, and working closely with product and engineering teams to translate ambiguous problems into working systems.
Sr. Manager, Events Strategy & Brand Experiences
Build and deploy AI agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks. Act as the primary technical partner for customers by leading regular demos, communicating progress, gathering feedback, and guiding solutions from concept to production. Configure and connect systems using APIs to handle authentication, data mapping, error handling, and integrate with CRMs, knowledge bases, and other enterprise tools. Set up telephony systems including SIP/CCaaS/PSTN routing, metadata passing, fallback configurations, and troubleshooting call quality. Write and refine prompts for LLM-driven agents, monitor performance, test iteratively, and ensure agents meet automation and containment targets. Translate customer requirements into actionable solutions and work consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaborate cross-functionally with product and engineering teams to escalate platform gaps, resolve technical issues, and independently drive leading client implementations.
Member of Technical Staff (Data): World Models
Design, automate, maintain, and optimize Python ETL pipelines (Spark/Ray) for large-scale multimodal data. Build and maintain data cataloging, lineage, quality tooling, integrity verification, access controls, and lifecycle management systems. Provide guidance, internal tools, and documentation to colleagues on data best practices. Serve as a custodian of the company’s datasets, ensuring overall data health, quality, and discoverability.
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