Lead the development and application of machine learning and LLM-powered models across various functions.
Translate business problems into clear modeling objectives and experimentation plans.
Manage and mentor applied ML practitioners, setting high standards for modeling rigor.
Gametime helps people connect through shared experiences by making it easy to discover and access live events. They operate platforms across the US and Canada, reimagining the event ticket industry to move at the speed of life.
Design and develop novel streaming ASR architectures.
Research and prototype LLM-assisted speech-to-text.
Develop new algorithms for streaming speaker diarization, contextual biasing, and multilingual speech recognition.
AssemblyAI builds best-in-class Speech AI models powering the next generation of voice applications, serving 600M+ inference calls monthly. They are a remote team of startup veterans and experienced AI researchers building one of the next great AI companies, seeking ambitious, curious people who lead with integrity to help define their company culture.
Evaluate model-generated replies based on Tone or Fluency .
Read a user prompt and two model replies, then rate each using a five-point scale.
CrowdGen, by Appen, focuses on AI response evaluation. They are looking for native Javanese speakers to contribute to a multilingual AI response evaluation project where you review large language model outputs.
Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks.
Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.
Rockerbox is building the next generation of marketing intelligence. They are looking for someone to help them build the AI systems everyone else just theorizes about.
Partner with Business Unit leaders to understand opportunities for AI agents and automation.
Configure and implement AI agents, including intents, knowledge sources and user experiences.
Define and track KPIs such as time saved and user satisfaction and recommend improvements.
Restaurant365 provides an end-to-end accounting and operations cloud software platform for restaurants. They empower restaurant operators with actionable insights and are growing rapidly.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Design complex LLM prompts that accurately represent real customer journeys and service interactions.
Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.