Snapshot before the quality program (relevance gates, tiered mapping, QA linter). v1 is the immutable before/after reference; evidence crawl was at ~175/3039 occupations when tagged. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
3.5 KiB
QA sample — aviation-ground-systems-engineer
1 of 65 records (2%). Judge each extraction against QUALITY_BAR.md 'Extraction quality': faithful, no invented items, plausible seniority.
AI Systems Engineer (Aerospace Integrations) (Hub-Remote: DC or Philly Metro) (us)
Ad (first 2000 chars):
About Element 84
Element 84 is a woman-owned small business that works with public, private, and non-profit sector clients to develop geospatial data processing pipelines & build software that helps answer big questions about our health, our infrastructure, and our changing planet. We solve challenging problems across a wide range of industries, but our super power is cloud-based geospatial data processing, remote sensing, and Earth science systems. Our headquarters is located in Alexandria, VA and we have a satellite office in Philadelphia, PA. Element 84 also supports a large remote workforce from a variety of other states.
A Few Other Things You Should Know
• Element 84's values are: We Invest in Each Other, We are Reliable, and Our Work Benefits our World. • Element 84 works on meaningful projects that are challenging—from a technical, people, and team perspective. We make an impact on large projects through our leadership and expertise, both formal and informal. • Element 84 values life outside of work. We offer parental leave for everyone and support each other through family challenges like medical problems, adoptions, and new babies. • Element 84 has had a flexible work schedule since our founding in 2010. • Element 84 is committed to fostering a culture of curiosity and respect for all individuals as we constantly strive to create a work environment where everyone feels welcome and supported.
About You
You are curious about the world, are constantly learning, driven to lead (formally or informally), and have a strong work ethic. You're interested in solving impactful problems in science, medicine, and other projects that have a societal good. You can work independently or with a team, prioritize your projects, and be effective without micromanagement.
You'll care about writing. Our team is remote and written communication is essential. In addition to caring about a well-crafted email and a succinct conference abstract, you understand that good writing
Extraction:
{
"hard_skills": [
"geospatial data processing",
"software development",
"mechanical engineering fundamentals",
"aerospace engineering",
"cloud architecture",
"api design",
"systems design",
"python scripting",
"finite element analysis",
"computational fluid dynamics"
],
"tools": [
"AWS",
"Autodesk Fusion 360",
"ANSYS",
"NASTRAN",
"SolidWorks",
"Pydantic AI"
],
"methods": [
"infrastructure as code",
"agentic systems",
"reinforcement learning",
"reduced-order models",
"rag pipelines",
"model context protocol (mcp)",
"uncertainty quantification"
],
"responsibilities": [
"ai pipeline design",
"autonomous workflow implementation",
"physics constraint translation",
"cae workflow automation",
"domain validation",
"multi-agent architecture design",
"tool integration",
"cloud deployment",
"evaluation framework building"
],
"qualifications": [
"2+ years aerospace experience",
"mechanical and aerospace engineering fundamentals",
"python proficiency"
],
"soft_skills": [
"written communication",
"leadership",
"work ethic",
"curiosity"
],
"seniority": "mid"
}
Mechanical issues: tools: shouting 'NASTRAN'