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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 description
Nature of work
no_db_connection
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)
No dimension groups computed for this JD.
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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