Top AI Specialist Jobs in Boston, MA

Reposted 19 Days AgoSaved
Remote
Boston, MA
129K-152K Annually
Mid level
129K-152K Annually
Mid level
Software
Own strategy, design, and optimization of Vanta's customer-facing chatbot and internal AI Copilot. Build and maintain AI-driven knowledge, design conversation flows in Intercom, analyze performance data, and collaborate cross-functionally to increase resolution rates and CSAT. Handle a small volume of support tickets to inform improvements and maintain product expertise.
Top Skills: APIsAsk IlmaGuruIntercomIntercom CopilotJavaScriptJSONPython
Reposted 19 Days AgoSaved
Remote or Hybrid
Boston, MA
86K-95K Annually
Mid level
86K-95K Annually
Mid level
Healthtech • Software
Design, build, and optimize AI-driven customer success automations using no-code/low-code tools and LLM APIs. Identify use cases across the customer lifecycle, integrate solutions with enterprise platforms, apply prompt engineering and RAG patterns, monitor performance, and collaborate cross-functionally to scale AI-enabled workflows while maintaining responsible AI practices.
Top Skills: EhrFhirGainsightGongHl7Llm ApisMakeN8NPendoPower BIRetrieval-Augmented Generation (Rag)SalesforceSalesforce ReportsTableauZapier
24 Days AgoSaved
Remote
Boston, MA
29-29 Hourly
Entry level
29-29 Hourly
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
Review trainer-submitted image-question pairs and verify golden answers for accuracy and consistency. Flag and document incorrect, ambiguous, or incomplete responses, provide corrective feedback, track recurring errors, and escalate unclear cases. Ensure trainer output meets project quality standards.
24 Days AgoSaved
Remote
Boston, MA
50-50 Hourly
Entry level
50-50 Hourly
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Professional Services
Review trainers' completed annotation tasks comparing questions, images, and golden answers to verify correctness. Flag incorrect, ambiguous, or inconsistent responses, provide constructive feedback, track recurring errors, ensure outputs meet quality standards, and escalate unclear cases to the project team.
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