What the reviews say
Some reviewers expressed a desire to gain more valuable experience and work with greater minds, indicating a potential gap in advanced learning or challenging projects.
What the reviews say
Some reviewers expressed a desire to gain more valuable experience and work with greater minds, indicating a potential gap in advanced learning or challenging projects.
What this signalsEmployee reviews often show internal change before it is announced.
Job titles in the reviews
glassdoor-companyglassdoorLearningDevelopmentConcernsGet every Glassdoor signal for Mercor and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Mercor this week?”
The Signal API returns Glassdoor signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full glassdoor-company 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 APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/6af040c8-b17f-47f3-a62e-2ea16b737ec0 returns this record as JSON. POST /v1/companies/enrich returns every signal for mercor.com.
{
"signal_id": "6af040c8-b17f-47f3-a62e-2ea16b737ec0",
"signal_type": "glassdoor-company",
"signal_subtype": "glassdoorLearningDevelopmentConcerns",
"detected_at": "2026-09-14T07:11:20.967+00:00",
"company": {
"name": "Mercor",
"domain": "mercor.com"
},
"data": {
"detail": "Some reviewers expressed a desire to gain more valuable experience and work with greater minds, indicating a potential gap in advanced learning or challenging projects.",
"summary": "Employees seek more valuable experience and opportunities to work with great minds",
"relevance": 0.4,
"sentiment": "negative",
"confidence": "low",
"job_titles": [
"Prompt Writing",
"General Expert",
"Reviewer",
"Data Evaluator (Remote)",
"Generalist Expert / AI Evaluator",
"Software Engineering",
"Generalist Expert",
"Generalist Expert- English"
],
"glassdoor_id": 9031572,
"glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-Mercor-EI_IE9031572.11,17.htm",
"total_reviews": 10,
"review_date_newest": "2026-09-09T09:58:59.153Z",
"review_date_oldest": "2026-09-03T06:08:10.017Z",
"recent_reviews_count": 10,
"overallCompanyRatings": {
"ceo_approval": 0.71,
"culture_rating": 3.7,
"overall_rating": 4,
"business_outlook": 0.63,
"management_rating": 3.8,
"compensation_rating": 4,
"recommend_to_friend": 0.79,
"work_life_balance_rating": 3.7,
"career_opportunities_rating": 3.7
}
}
}
curl https://signals.autobound.ai/v1/signals/6af040c8-b17f-47f3-a62e-2ea16b737ec0 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"mercor.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.