Intern – Data Annotator QA

Posted 3 Days Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Internship
Artificial Intelligence • Healthtech
The Role
Support data annotation and quality assurance for healthcare AI models, focusing on speech and language (ASR, NLU, TTS). Tasks likely include labeling and reviewing clinical conversation data, validating model outputs against clinical protocols, ensuring annotation accuracy and safety, and maintaining HIPAA-compliant data handling while collaborating with engineering and clinical teams.
Summary Generated by Built In
OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams, automate routine workflows, and safely scale nursing capacity.
Our solution combines AI voice agents and licensed nurses to handle patient communication, symptom triage, remote monitoring, and post-acute care — reducing administrative burden and enabling clinicians to focus on direct patient care. 

Our core product suite includes: 
● Glia Voice Agents – multimodal conversational agents capable of answering patient calls, triaging symptoms using evidence-based protocols (e.g., Schmitt-Thompson), scheduling visits, and delivering education and follow-ups. 
● Glia Productivity Agents – AI copilots for nurses that automate charting, scribing, and clinical decision support by integrating directly into EHR systems such as Epic and Athena. 
● AI-Enabled Nursing Services – a hybrid care delivery model where AI and licensed nurses work together to deliver virtual triage, remote patient monitoring, and specialty patient support programs (e.g., oncology, dementia, dialysis). 

Our AI infrastructure leverages multimodal foundation models — incorporating speech recognition (ASR), natural language understanding, and text-to-speech (TTS) — fine-tuned for healthcare environments to ensure safety, empathy, and clinical accuracy. All models operate within a HIPAA-compliant and SOC 2–certified framework. OutcomesAI partners with leading health systems and virtual care organizations to deploy and validate these capabilities at scale. Our goal is to create the world’s first AI + nurse hybrid workforce, improving access, safety, and efficiency across the continuum of care.  
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The Company
HQ: Boston, MA
24 Employees
Year Founded: 2024

What We Do

OutcomesAI is on a mission to build safe artificial medical intelligence to supercharge healthcare teams. We're building Glia® - an ensemble of LMMs and LLMs built for healthcare applications – ensuring safety and clinical performance. We’re starting by enabling care teams with AI companions – built for various workflows to reduce clinical burnout, improve workflow efficiency, and enable consistent, high-quality care. To learn more and join us visit www.outcomes.ai

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