Pipeline run
d6e22f98-5819-41ef-9d83-8224e478a117
Pipeline LLM cost (USD)
API 1: $0.0031
API 2: $0.0000
API 3: $0.0000
Total: $0.0031
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionNature 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):
—
Models / concepts (×3):
AI
Evidence — skills matched in JD (11)
C
Rust
JVM
C#
Kotlin
Scala
Swift
Ruby
PHP
Perl
R
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
Develop and complete coding tasks in various enterprise languages.
Evaluate and improve systems and build toolchains using C and Rust.
Enhance enterprise JVM and build ecosystems with C#, Kotlin, Scala, and Swift.
Optimize production web and ops scripting with Ruby, PHP, and Perl.
Advance scientific and quant computing using R.
Work independently and asynchronously to meet project deadlines.
Strong professional experience in at least one listed domain.
Deep understanding of language internals, tooling, and real-world production constraints.
Ability to reason about edge cases, performance, and system design trade-offs.
Detail-oriented with strong written feedback skills.
Signals
Skill
ml-engineer
0.27
Alias
—
—
KRA
cybersecurity-engineer
0.35
Status:
extract_from_jd_done
Created: 2026-05-18T14:12:49.248348Z
Updated: 2026-05-18T14:12:49.248348Z
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
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Enterprise SWEs Type: Contract Compensation: $50–$70/hour Location: Remote Role Responsibilities Develop and complete coding tasks in various enterprise languages. Evaluate and improve systems and build toolchains using C and Rust. Enhance enterprise JVM and build ecosystems with C#, Kotlin, Scala, and Swift. Optimize production web and ops scripting with Ruby, PHP, and Perl. Advance scientific and quant computing using R. Work independently and asynchronously to meet project deadlines. Qualifications Must-Have Strong professional experience in at least one listed domain. Deep understanding of language internals, tooling, and real-world production constraints. Ability to reason about edge cases, performance, and system design trade-offs. Detail-oriented with strong written feedback skills. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
C
Primary
No API 2 row (run stopped after API 1 or history missing)
Rust
Primary
No API 2 row (run stopped after API 1 or history missing)
JVM
Primary
No API 2 row (run stopped after API 1 or history missing)
C#
Primary
No API 2 row (run stopped after API 1 or history missing)
Kotlin
Primary
No API 2 row (run stopped after API 1 or history missing)
Scala
Primary
No API 2 row (run stopped after API 1 or history missing)
Swift
Primary
No API 2 row (run stopped after API 1 or history missing)
Ruby
Primary
No API 2 row (run stopped after API 1 or history missing)
PHP
Primary
No API 2 row (run stopped after API 1 or history missing)
Perl
Primary
No API 2 row (run stopped after API 1 or history missing)
R
Primary
No API 2 row (run stopped after API 1 or history missing)
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleEnterprise SWEs
CompanyMercor
CTC{'max': 70, 'min': 50, 'raw': '$50–$70/hour', 'period': 'hourly', 'currency': 'USD'}
DomainOther
Location
Remote
(remote)
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Mercor connects elite creative and",
"last_5_words": "Thiel, Adam D\u0027Angelo, Larry Summers,"
},
"text": "Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D\u0027Angelo, Larry Summers, and Jack Dorsey.",
"word_count": 36
},
"certifications": [],
"company_name": "Mercor",
"ctc": {
"currency": "USD",
"max": 70,
"min": 50,
"period": "hourly",
"raw": "$50\u2013$70/hour"
},
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": null,
"raw": null
},
"job_locations": [
{
"aliases": [],
"city": null,
"country": "Remote",
"state": null,
"work_mode": "remote"
}
],
"role": "Enterprise SWEs",
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Role Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Develop and complete coding tasks",
"last_5_words": "meet project deadlines."
},
"text": "Develop and complete coding tasks in various enterprise languages.\nEvaluate and improve systems and build toolchains using C and Rust.\nEnhance enterprise JVM and build ecosystems with C#, Kotlin, Scala, and Swift.\nOptimize production web and ops scripting with Ruby, PHP, and Perl.\nAdvance scientific and quant computing using R.\nWork independently and asynchronously to meet project deadlines.",
"word_count": 54
},
{
"bullet_count": 4,
"heading": "Must-Have",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Strong professional experience in at",
"last_5_words": "written feedback skills."
},
"text": "Strong professional experience in at least one listed domain.\nDeep understanding of language internals, tooling, and real-world production constraints.\nAbility to reason about edge cases, performance, and system design trade-offs.\nDetail-oriented with strong written feedback skills.",
"word_count": 44
}
],
"urls": [
{
"type": "other",
"url": "https://talent.docs.mercor.com/welcome"
}
]
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "C"
},
{
"is_primary": true,
"skill_name": "Rust"
},
{
"is_primary": true,
"skill_name": "JVM"
},
{
"is_primary": true,
"skill_name": "C#"
},
{
"is_primary": true,
"skill_name": "Kotlin"
},
{
"is_primary": true,
"skill_name": "Scala"
},
{
"is_primary": true,
"skill_name": "Swift"
},
{
"is_primary": true,
"skill_name": "Ruby"
},
{
"is_primary": true,
"skill_name": "PHP"
},
{
"is_primary": true,
"skill_name": "Perl"
},
{
"is_primary": true,
"skill_name": "R"
}
],
"jd_role": {
"display_name": "Enterprise SWEs",
"rationale": null,
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Mercor connects elite creative and",
"last_5_words": "Thiel, Adam D\u0027Angelo, Larry Summers,"
},
"text": "Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D\u0027Angelo, Larry Summers, and Jack Dorsey.",
"word_count": 36
},
"certifications": [],
"company_name": "Mercor",
"ctc": {
"currency": "USD",
"max": 70,
"min": 50,
"period": "hourly",
"raw": "$50\u2013$70/hour"
},
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": null,
"raw": null
},
"job_locations": [
{
"aliases": [],
"city": null,
"country": "Remote",
"state": null,
"work_mode": "remote"
}
],
"role": "Enterprise SWEs",
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Role Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Develop and complete coding tasks",
"last_5_words": "meet project deadlines."
},
"text": "Develop and complete coding tasks in various enterprise languages.\nEvaluate and improve systems and build toolchains using C and Rust.\nEnhance enterprise JVM and build ecosystems with C#, Kotlin, Scala, and Swift.\nOptimize production web and ops scripting with Ruby, PHP, and Perl.\nAdvance scientific and quant computing using R.\nWork independently and asynchronously to meet project deadlines.",
"word_count": 54
},
{
"bullet_count": 4,
"heading": "Must-Have",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Strong professional experience in at",
"last_5_words": "written feedback skills."
},
"text": "Strong professional experience in at least one listed domain.\nDeep understanding of language internals, tooling, and real-world production constraints.\nAbility to reason about edge cases, performance, and system design trade-offs.\nDetail-oriented with strong written feedback skills.",
"word_count": 44
}
],
"urls": [
{
"type": "other",
"url": "https://talent.docs.mercor.com/welcome"
}
]
},
"run_id": null,
"stage3_signals": {
"alias_match_roles": [],
"kra_match_roles": [
{
"display_name": "Cybersecurity Engineer",
"matched_count": null,
"role_id": 5,
"score": 0.3544,
"slug": "cybersecurity-engineer",
"total_count": null
},
{
"display_name": "Android Engineer",
"matched_count": null,
"role_id": 4,
"score": 0.3399,
"slug": "android-engineer",
"total_count": null
},
{
"display_name": "Data Engineer",
"matched_count": null,
"role_id": 2,
"score": 0.3293,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"matched_count": null,
"role_id": 10,
"score": 0.314,
"slug": "devops-engineer",
"total_count": null
},
{
"display_name": "Backend Engineer",
"matched_count": null,
"role_id": 1,
"score": 0.3068,
"slug": "backend-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "ML Engineer",
"matched_count": 3,
"role_id": 3,
"score": 0.2727,
"slug": "ml-engineer",
"total_count": 11
},
{
"display_name": "Backend Engineer",
"matched_count": 2,
"role_id": 1,
"score": 0.1818,
"slug": "backend-engineer",
"total_count": 11
},
{
"display_name": "Cybersecurity Engineer",
"matched_count": 1,
"role_id": 5,
"score": 0.0909,
"slug": "cybersecurity-engineer",
"total_count": 11
},
{
"display_name": "Ios engineer",
"matched_count": 1,
"role_id": 6,
"score": 0.0909,
"slug": "ios-engineer",
"total_count": 11
},
{
"display_name": "AR/VR Engineer",
"matched_count": 1,
"role_id": 8,
"score": 0.0909,
"slug": "ar-vr-engineer",
"total_count": 11
}
],
"stage35_ran": false
}
}
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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