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MercorIn development

Machine Learning Researchers

What happened

Mercor, Inc. is developing Project Vesuvius.

Source

datacareer.deNov 20, 2025

Machine Learning Researchers

Article excerpt

Highlighted: the sentence this signal was extracted from

Machine learning researchers. Job description. Mercor is partnering with a leading AI research lab on Project Vesuvius, an initiative designed to evaluate and enhance the ability of large language models (LLMs) to generate structured, high-quality research plans for open-ended machine learning problems. We are seeking machine learning researchers and phds to serve as annotators who will assess and provide structured feedback on AI-generated research plans. The goal is to improve how llms function as brainstorming partners for machine learning research. This is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research. * Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. * Design and compile ML tasks based on real-world challenges and research competitions. * Draft detailed, executable natural language plans for machine learning workflows. * Implement and validate research plans in Python within a Docker environment. * Assess outputs against structured rubrics, provide usefulness scores, and deliver concise, objective feedback. * 5+ years of experience in applied machine learning or a PhD in machine learning or related fields. * Strong understanding of ML research methodologies, experimental design, and evaluation practices. * Excellent analytical and...

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Extracted by Autobound

From the Signal API record
Event
In development

What this signalsWork in development often leads to new buying for tools, data and services.

Product
Project Vesuvius

More in development signals at other companies

The full record

From the Signal API record

Details

Category
Is developing

Extraction

Confidence
56%
Detected
Nov 19, 2025
signal_type
news
signal_subtype
is_developing

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The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/a02a162d-560f-440b-afb4-607a66da41fd returns this record as JSON. POST /v1/companies/enrich returns every signal for mercor.com.

{
  "signal_id": "a02a162d-560f-440b-afb4-607a66da41fd",
  "signal_type": "news",
  "signal_subtype": "is_developing",
  "detected_at": "2025-11-19T00:00:00+00:00",
  "company": {
    "name": "Mercor",
    "domain": "mercor.com"
  },
  "data": {
    "url": "https://www.datacareer.de/job/17315/machine-learning-researchers",
    "title": "Machine Learning Researchers",
    "excerpt": "Machine learning researchers.\n\nJob description.\n\nMercor is partnering with a leading AI research lab on Project Vesuvius, an initiative designed to evaluate and enhance the ability of large language models (LLMs) to generate structured, high-quality research plans for open-ended machine learning problems.\n\nWe are seeking machine learning researchers and phds to serve as annotators who will assess and provide structured feedback on AI-generated research plans. The goal is to improve how llms function as brainstorming partners for machine learning research.\n\nThis is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research.\n\n* Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness.\n* Design and compile ML tasks based on real-world challenges and research competitions.\n* Draft detailed, executable natural language plans for machine learning workflows.\n* Implement and validate research plans in Python within a Docker environment.\n* Assess outputs against structured rubrics, provide usefulness scores, and deliver concise, objective feedback.\n\n* 5+ years of experience in applied machine learning or a PhD in machine learning or related fields.\n* Strong understanding of ML research methodologies, experimental design, and evaluation practices.\n* Excellent analytical and...",
    "product": "Project Vesuvius",
    "summary": "Mercor, Inc. is developing Project Vesuvius.",
    "category": "is_developing",
    "found_at": "2025-11-19T00:00:00Z",
    "planning": false,
    "image_url": "https://www.datacareer.de/files/pictures/download_132.webp",
    "confidence": 0.5554,
    "product_data": {
      "full_text": "Project Vesuvius",
      "fuzzy_match": true
    },
    "published_at": "2025-11-20T00:00:00Z",
    "article_sentence": "Mercor is partnering with a leading AI research lab on Project Vesuvius, an initiative designed to evaluate and enhance the ability of large language models (LLMs) to generate structured, high-quality research plans for open-ended machine learning problems."
  }
}

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