AI TEVV Engineer

Note

The job is a remote job and is open to candidates in USA. Ursa Space Systems is building an AI-native geospatial insights platform that integrates satellite and geospatial data into customer workflows. The company seeks an AI TEVV Engineer to own evaluation strategy, statistical methodology, and evidence for validating AI/ML models, agentic workflows, data pipelines, and analytic products. The role also supports monitoring, compliance documentation, government contracts, and independent verification and validation activities.

Responsibilities

• Design, develop, and plan the TEVV strategy across the platform's algorithms, AI/ML models, agentic workflows, data pipelines, and analytic products, aligned to the NIST AI RMF Measure function
• Design statistically defensible evaluations: error metrics and acceptance criteria on representative input distributions, with explicit confidence intervals
• Define and document the platform's context of use — the validated operating envelope (modalities, geographies, resolutions, conditions, target classes) within which accuracy claims hold
• Evaluate ground-truth and "golden" datasets, including annotation and adjudication protocols, inter-rater reliability, and quantified uncertainty in the reference data itself
• Implement a layered evaluation posture: a verifiable core (accuracy, groundedness, format), a rubric-scored middle layer with documented inter-rater reliability, and an honest residual of expert holistic review
• Evaluate generative and natural-language outputs for claim-level groundedness whether each assertion is traceable to a citable source alongside rubric-based, human-adjudicated assessment
• Stand up continuous monitoring and re-validation certification gates plus ongoing surveillance watching for model, prompt, retrieval, and agent-behavior drift
• Author and maintain the TEVV evidence set: test plans, traceability matrices, metrics, acceptance criteria, and credibility-assessment documentation
• Support DoD AI test-and-evaluation expectations (including DoD Directive 3000.09), contractual milestones, acceptance testing, and demonstrations to government stakeholders
• Distinguish internal TEVV from organizationally independent IV&V, and partner with external IV&V agents where required
• Partner with Engineering teams to embed evaluability, observability, and traceability from design onward
• Contribute to emerging standards (NIST AI TEVV consortium, ISO/IEC SC 42 / 42001), aligning our methodology so evidence packages map to customers' compliance frameworks
• 30% travel
• Perform all other duties as assigned

Skills

• B.S. in Computer Science, Statistics, or Systems Engineering, or a related quantitative discipline (M.S./Ph.D. a plus)
• 10+ years of relevant experience, centered on evaluation, measurement, or test-and-evaluation of AI/ML or data-driven systems — not solely software QA or test automation
• Demonstrated ability to design statistically defensible evaluations: input-distribution design, error-rate estimation, confidence intervals, and context-tied acceptance criteria
• Hands-on experience building ground-truth/golden datasets — adjudication protocols, inter-rater reliability, and reference-data uncertainty
• Experience supporting U.S. government contracts (aerospace, defense, or intelligence preferred), including requirements traceability and compliance documentation
• Working knowledge of the NIST AI RMF and how TEVV evidence maps to customer compliance regimes
• Strong quantitative skills and Python proficiency for analysis and evaluation (Pandas/Polars, NumPy, ML evaluation libraries)
• Comfort using AI-assisted tools for rapid development and testing
• Organized and self motivated, able to work successfully with a remote team
• A creative, flexible mindset for complex problems
• A fast, reliable internet connection if working remotely
• 30% travel
• Aligning evaluation methodology to the NIST AI RMF, ISO/IEC 42001, and emerging NIST AI TEVV consortium / ISO/IEC SC 42 work; standards participation a plus
• Defining credibility-assessment frameworks tied to context of use rather than fixed, context-free thresholds
• Evaluating image and signal processing outputs across modalities (SAR, electro-optical, RF), including the proxy nature of geospatial reference data
• Evaluating generative and agentic systems: rubric design, human-adjudicated evaluation, and claim-level groundedness
• Heritage V&V/assurance standards (IEEE 1012, DO-178C, ISO/IEC 25010, CMMI) and formal IV&V experience
• GIS tools and libraries; SpatioTemporal Asset Catalog (STAC) experience
• NoSQL and/or SQL databases (Mongo, MySQL, Postgres)
• Test automation and CI/CD: Python and/or JavaScript, frameworks (e.g., pytest, Jest), and regression/monitoring suites in pipelines
• Common AWS services (e.g. S3, Lambda, ECS, ECR, DynamoDB) and microservice-based architectures
• Software tooling (e.g. Git, Docker, Anaconda, virtual environments)
• Data quality, observability, and monitoring tooling
• Experience with customer-facing software products

Benefits

• Eligible for an annual bonus
• Fully remote work arrangement
• Discretionary PTO & Flexible Scheduling
• Stock Options
• 401(k) Match
• Medical, Dental and Vision Coverage for you and your dependents
• FSA & HSA Plans
• Employer-paid Life Insurance
• Employer-paid LTD and STD for Parental and Family Care
• 11 Paid Holidays
• Employee Resource Groups
• Educational Assistance Program
• Professional Development Opportunities

Company Overview

• Ursa Space Systems is a satellite intelligence company that provides data solutions and analytic services. It was founded in 2014, and is headquartered in Ithaca, New York, USA, with a workforce of 51-200 employees. Its website is https://ursaspace.com.