Full-Time

Healthcare Impact Specialist

Confirmed live in the last 24 hours

Galileo

Galileo

51-200 employees

Platform for improving machine learning models

Data & Analytics
AI & Machine Learning

Compensation Overview

$22 - $28Hourly

Entry, Junior

Seattle, WA, USA

Category
Healthcare Administration & Support
Medical, Clinical & Veterinary

You match the following Galileo's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • You Enjoy Helping Others: You find immense satisfaction in helping people navigate the complex healthcare system. You believe that empathy and personal touch are key to making a lasting impact.
  • You're Energetic and Adaptable: You thrive in a fast-paced environment where you need to handle high volumes of interactions while maintaining high quality and attention to detail.
  • You’re a Strong Communicator: Your written and verbal communication skills are top-notch, ensuring clear and effective interactions with patients and team members.
  • You’re Open to New Horizons: Without a healthcare background (or willing to set aside what you know), you approach challenges with fresh perspectives and a willingness to learn and grow.
  • You’re a Team Player with Leadership Potential: You excel in teamwork and are ready to take on roles that influence success and innovation within the team.
  • Language Skills: You can speak both English and Spanish, enabling you to connect with a diverse patient base.
Responsibilities
  • Understand and Empower: Engage deeply with patients to comprehend their unique needs and circumstances. Utilize your insight to offer exceptional hospitality and service that truly makes a difference.
  • Connect and Coordinate: Facilitate seamless interactions between patients and our various Galileo services and teams, including clinical and administrative functions. Handle administrative tasks such as processing insurance authorizations and collecting medical records with precision and care.
  • Build Strong Relationships: Cultivate meaningful connections with patients and team members. Pay attention to the little details and continuously brainstorm innovative solutions to enhance our processes and patient experiences.
  • Innovate and Lead: Leverage your analytical and problem-solving skills to identify areas for improvement. Initiate and implement changes that drive operational excellence and patient satisfaction.

Galileo offers a platform that helps machine learning teams enhance their models and lower annotation costs by using data-centric algorithms for Natural Language Processing. It allows teams to quickly identify and fix data issues that affect model performance and provides a collaborative space to manage models from raw data to production. Unlike competitors, Galileo integrates easily with existing tools and focuses on actionability, security, and privacy, while also streamlining the data labeling process. The company's goal is to equip machine learning teams with efficient tools to improve model performance and reduce costs.

Company Size

51-200

Company Stage

Series B

Total Funding

$66.2M

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Galileo raised $45M to enhance AI model accuracy and observability.
  • The Luna EFMs reduce GenAI evaluation costs by 97% and increase speed 11x.
  • Open-source AI models are closing the gap with proprietary models, democratizing AI capabilities.

What critics are saying

  • Rapid AI agent adoption raises concerns about reliability and potential errors.
  • Narrowing performance gap between open-source and proprietary models increases competition.
  • EU regulatory changes could impose new compliance requirements on AI companies like Galileo.

What makes Galileo unique

  • Galileo integrates with existing tools in minutes, enhancing actionability and privacy.
  • It offers a collaborative data bench for tracking models from raw data to production.
  • Galileo's platform auto-detects mis-annotated data and supports bulk labeling in one place.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Parental Leave

Flexible Work Hours

401(k) Retirement Plan

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-8%

2 year growth

-8%
PYMNTS
Feb 4th, 2025
Open-Source Vs Proprietary Ai: Which Should Businesses Choose?

When deploying generative artificial intelligence (AI), one of the most fundamental decisions businesses face is whether to choose open-source or proprietary AI models — or aim for a hybrid of the two. “This basic choice between the open source ecosystem and a proprietary setting impacts countless business and technical decision, making it ‘the AI developer’s dilemma,’” according to an Intel Labs blog post. This choice is critical because it affects a company’s AI development, accessibility, security and innovation. Businesses must navigate these options carefully to maximize benefits while mitigating risks

VentureBeat
Jan 23rd, 2025
Galileo Launches ‘Agentic Evaluations’ To Fix Ai Agent Errors Before They Cost You

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Galileo, a San Francisco-based startup, is betting that the future of artificial intelligence depends on trust. Today, the company launched a new product, Agentic Evaluations, to address a growing challenge in the world of AI: making sure the increasingly complex systems known as AI agents actually work as intended.AI agents—autonomous systems that perform multi-step tasks like generating reports or analyzing customer data—are gaining traction across industries. But their rapid adoption raises a crucial question: How can companies verify these systems remain reliable after deployment? Galileo’s CEO, Vikram Chatterji, believes his company has found the answer.“Over the last six to eight months, we started to see some of our customers trying to adopt agentic systems,” said Chatterji in an interview. “Now LLMs can be used as a smart router to pick and choose the right API calls towards actually completing a task

Solondais
Oct 16th, 2024
AI observability company Galileo raises $45M to improve AI model accuracy

Galileo Technologies Inc., a provider of enterprise AI observability and assessment platforms, today announced that it has raised $45 million in new funding.

PR Newswire
Oct 15th, 2024
Galileo Raises $45M Series B Funding to Bring Evaluation Intelligence to Generative AI Teams Everywhere

/PRNewswire/ -- Galileo, a leader in generative AI evaluation and observability for enterprises, today announced it raised $45M in Series B funding led by...

VentureBeat
Aug 12th, 2024
Apple’S Toolsandbox Reveals Stark Reality: Open-Source Ai Still Lags Behind Proprietary Models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Researchers at Apple have introduced ToolSandbox, a novel benchmark designed to assess the real-world capabilities of AI assistants more comprehensively than ever before. The research, published on arXiv, addresses crucial gaps in existing evaluation methods for large language models (LLMs) that use external tools to complete tasks.ToolSandbox incorporates three key elements often missing from other benchmarks: stateful interactions, conversational abilities, and dynamic evaluation. Lead author Jiarui Lu explains, “ToolSandbox includes stateful tool execution, implicit state dependencies between tools, a built-in user simulator supporting on-policy conversational evaluation and a dynamic evaluation strategy.”This new benchmark aims to mirror real-world scenarios more closely. For instance, it can test whether an AI assistant understands that it needs to enable a device’s cellular service before sending a text message — a task that requires reasoning about the current state of the system and making appropriate changes.Proprietary models outshine open-source, but challenges remainThe researchers tested a range of AI models using ToolSandbox, revealing a significant performance gap between proprietary and open-source models.This finding challenges recent reports suggesting that open-source AI is rapidly catching up to proprietary systems