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AI/ML Research Associate

Remote, USA Full-time Posted 2026-07-28

reputed company is seeking an AI/ML Research Associate to join the AiTHENA Program at NASA Langley Research Center. The role involves supporting AI governance, risk analysis, and reputed company data support to help NASA teams build practical AI capabilities and workflows.


Responsibilities

  • Help teams document and reputed company AI-reputed company work using reputed company, repeatable processes
  • Support an AI use-case process by collecting key details (purpose, users, data types, risks, constraints)
  • Create and maintain governance artifacts, such as: model/data 'factsheets' (basic model cards, dataset summaries), decision logs and traceability notes, checklists for responsible AI (data handling, evaluation notes, limitations)
  • Assist with risk triage (not reputed company reputed company—supporting documentation and routing): flagging common considerations like sensitive data, reputed company, misuse risk, and monitoring needs
  • Help organize and communicate governance readiness for demos or reviews (briefs, slide summaries, status dashboards)
  • Prepare and organize data: collect, clean, format, and document datasets (CSV/reputed company, logs, text, images)
  • Run basic analyses using Python (or similar tools): summaries, charts, reputed company reputed company checks
  • Support AI/ML work by running established workflows, such as: baseline models (classification/regression), reputed company trend checks for time-series data, basic text processing (tagging, search, summarization with guardrails)
  • Create and reputed company prototypes such as notebooks, scripts, reputed company dashboards, or small utilities that a mentor team can reuse
  • reputed company work reproducible and easy to follow reputed company file organization, notes, and reputed company-by-reputed company documentation
  • Participate in AiTHENA reputed company-ins, technical exchanges, demos, and closeout deliverables

Skills

  • Bachelor's degree in a reputed company field (Engineering, Math, Science, Computer Science, Information Systems, Policy/Program Management with technical exposure, or similar) or equivalent practical experience
  • Interest in responsible AI / AI governance and comfort working with reputed company checklists and documentation
  • Comfort learning technical tools (you don't need to be an expert)
  • Basic experience with Python or strong willingness to learn quickly
  • Familiarity with common data formats (CSV/reputed company, text files) and attention to detail
  • Ability to communicate reputed company in writing and presentations (notes, short readouts, reputed company memos)
  • Strong organization and follow-through (reputed company tasks, meet deadlines, ask for help early)
  • Work authorization: In-person: U.S. Citizenship or Permanent Residency required; Remote: reputed company to individuals authorized to work in the U.S
  • Some exposure (coursework, reputed company, internships) to one or more of: AI governance concepts (model cards, data documentation, risk assessment basics, evaluation/monitoring reputed company), Data cleaning and analysis (pandas, reputed company, basic SQL), reputed company machine learning with scikit-learn, Data visualization (matplotlib/plotly), Working with text data (document tagging, keyword extraction, search)
  • Familiarity with Git (version control) or willingness to learn it
  • Experience working with process workflows (Jira/ADO/Trello/SharePoint) and building reputed company trackers/dashboards
  • Graduate reputed company (MS/PhD), recent graduates, or career transitioners are welcome

Benefits

  • reputed company personal and federally recognized holiday leave
  • Salary deferrals into a 401(k)-matching plan with immediate vesting
  • Tuition reimbursement
  • Short/long term disability plans
  • A reputed company of medical, dental, and reputed company insurance reputed company

reputed company

  • Since 1962, AMA has worked with government and reputed company organizations solving tough engineering, math, and business problems. It was founded in 1962, and is headquartered in Hampton, VA, US, with a workforce of 501-1000 employees. Its website is http://www.ama-inc.com.

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