Pipeline run
9f938d18-af58-465a-b86a-e44bc128cda0
Pipeline LLM cost (USD)
API 1: $0.0000
API 2: $0.0000
API 3: $0.0000
Total: $0.0000
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 5
· Title match
✓ Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
—
Frameworks (×2):
Instructor
Models / concepts (×3):
—
Evidence — skills matched in JD (0)
Skill cluster (0 dimension groups, role-scoped)
Status:
extract_from_jd_done
Created: 2026-05-27T14:14:13.494824Z
Updated: 2026-05-27T14:14:13.494824Z
Flow
Current 3-step pipeline
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Role
Chosen role & resolution
No chosen role stored for this run.
Job description
We are looking for Trainer, Java full stack trainer, professor, teaching, Faculty, instructor, trainee, software trainee who can discharge the following responsibilities: ● Deliver interactive sessions with group(s) of learners on specific topics covered in the curriculum clubbed with relevant case studies and live examples. ● Solidify and reinforce understanding of subject from an industry perspective. ● Provide hands-on demonstrations during the live session using the code provided by us. ● Clarify students' queries and doubts about the course content. ● Provide guidance to students, do code reviews and check-ins for guided projects. ● Evaluate milestone assignments and projects. ● Provide periodic feedback about the students. ->Relevant Technologies ● MySQL ● Hibernate ● Java Full stack ● Spring ● Spring boot ● React ● Angular ● Microservices ● Html ● CSS ● JavaScript ● Web development framework ● Core java ->Preferred Qualifications ● At least 2+ years of Java full stack corporate training experience ● Trainer experience in relevant technologies would be preferred first.
Library artifacts (this run)
No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
"final_skills": [],
"jd_role": {
"display_name": "We are looking for Trainer, Java full stack trainer, professor, teaching, Faculty, instructor,",
"rationale": "non-tech title pattern matched (\u0027professor\u0027) \u2014 strong",
"role_aliases": [],
"role_archetype": "Other",
"slug": ""
},
"nano_parsed": null,
"rejected": true,
"rejection_reason": "Non-tech JD: non-tech title pattern matched (\u0027professor\u0027) \u2014 strong",
"run_id": null,
"stage3_signals": null,
"stage4_decision": null,
"stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
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