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Remote Secret AI/ML SME

Insight Global

Aberdeen Proving Ground, MDJob$70–90/hrSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$70–90/hr
Location
Aberdeen Proving Ground, MD
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Secret clearance

Job overview

Insight Global seeks an AI/ML Subject Matter Expert to support a client’s R&D teams in Aberdeen, Maryland. The role evaluates and validates AI/ML models against mission requirements using quantitative and scientific methods, conducts independent verification and validation, and participates in technical and architecture reviews. The SME assesses emerging technologies and communicates objective findings and recommendations to engineers, researchers, leadership, and government stakeholders.

Skills & qualifications

RequiredNice to have

Skills

Artificial IntelligenceMachine LearningData ScienceStatisticsMathematicsQuantitative AnalysisModel EvaluationModel ValidationAlgorithm AssessmentArchitecture AssessmentReliability AssessmentRobustness AssessmentExplainability AssessmentBias AssessmentSafety AssessmentSecurity AssessmentTechnical ReportingStakeholder CommunicationDoD R&DIndependent Verification and ValidationResearch CollaborationEmerging Technology AssessmentAdversarial ResilienceAI/ML SecurityCode ReviewExperimentationGenerative AI

Qualifications

Active Secret ClearanceBachelor's+8, Master's+6, or PhD8+ Years Relevant Experience6+ Years Relevant Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

Job Description

o Insight Global is looking for an AI/ML Subject Matter Expert for a client in Aberdeen, MD. This person will work alongside R&D teams to evaluate and validate AI/ML models and determine how effectively they perform against mission requirements. They will use quantitative and scientific methods to assess areas such as model accuracy, reliability, robustness, explainability, bias, security, and potential limitations. The SME will also conduct IV&V activities, participate in technical and architecture reviews, and assess new AI/ML technologies being developed internally or through industry and research partners. They will document their findings and provide clear, objective recommendations to engineers, researchers, leadership, and government stakeholders.

Compensation:

$70/hr to $90/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Skills and Requirements

o Active Secret clearance o Strong background in Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or another quantitative field o Bachelor’s degree + 8 years of relevant experience, OR Master’s + 6 years of relevant experience, OR relevant PhD background o Experience evaluating and assessing AI/ML models, algorithms, architectures, and performance o Strong knowledge of mathematics, statistics, ML theory, and quantitative analysis o Ability to assess AI/ML solutions for performance, reliability, robustness, explainability, bias, safety, and security o Experience producing technical reports and clearly communicating AI/ML findings to technical and non-technical stakeholders o Experience supporting DoD R&D or mission environments o Independent Verification & Validation (IV&V) experience o Experience working with academic or industry research organizations o Experience assessing emerging AI technologies and algorithms o Familiarity with adversarial resilience and AI/ML security o Experience participating in code reviews, architecture discussions, experimentation, or technical evaluations o Generative AI familiarity o Biggest Hotbook keywords: AI/ML, Machine Learning, Artificial Intelligence, Data Science, IV&V, Model Validation, Model Evaluation, Statistics, Applied Mathematics, ML Algorithms, Explainable AI, AI Security, Adversarial ML, R&D, DoD,

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

How this job compares

Set against the 4,830 open Data Scientist jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This posting$70–90/hr
  • US median$58–75/hr136 hourly ranges

This range's midpoint, $80/hr, is 18% above the US median midpoint ($68/hr) — in the top quarter of Data Scientist hourly ranges across the US.

Openings
Olive Jobs lists 131 open Data Scientist jobs in Maryland and 4,830 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Maryland
Experience
This posting asks for at least 8 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,140 postings).
Education
2,278 of the 4,830 open Data Scientist jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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