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Scale AI

ENTRAA+

Defense AI pivot + RLHF leadership.

scale.com
San Francisco, USAFounded 20161,000+ employeesSeries F · $1.6B raisedData Labeling · RLHF
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412 open roles at Scale AI

Verified live postings · updated MAY 4, 2026

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ENTRA Talent Index

Hiring quality verdict.

80/ 100
ENTRAA+

Scale AI has pivoted hard into defense — Scale Donovan and the broader public-sector business now drive most of new hiring. RLHF expertise commands top-of-market comp; commercial labeling has matured into infrastructure rather than a frontier role.

Hiring Velocity86
Compensation80
Retention74
Mission Alignment80
Methodology · 5 dimensions equally weightedData as of MAY 4, 2026
Hiring Intelligence

Scale AI by the numbers.

Open roles

412

Verified live postings

Hiring velocity · YoY

+102%

Net-new AI hires (12-month)

Funding stage

Series F · $1.6B raised

Data Labeling · RLHF

Salary Intelligence

Verified salary ranges.

Total comp · USD · annual

RLHF Research Engineer
$260Kto$480K
Defense Solutions Engineer
$220Kto$400K
Leadership

Who runs talent at Scale AI.

Alexandr Wang

Founder & CEO

Lucy Guo

Co-founder

Latest Coverage

Scale AI in ENTRA Intelligence.

BRIEFINGUSA · AI
74%Financial-domain AI evaluator TC premium over generalist evaluator median · NYC · Q3 2026

New York's AI Evaluation Premium: How Wall Street Became the East Coast Anchor of the Trainer Economy

New York's density of domain-expert finance professionals — the very people AI models need to learn from — gives the city a structural advantage no other US market can replicate. Financial-domain AI evaluators command $220K–$285K total compensation, 35–74% above the generalist evaluator median.

OCT 8, 2026new-york-cityai-training
ANALYSISUSA · IT
$350KMedian total comp for senior platform engineer at leading AI training infrastructure company · US · Q3 2026

The Platform Engineering Stack Behind the AI Trainer Economy

RLHF at frontier scale is a distributed systems problem masquerading as a labor economics story. The platforms building the AI trainer economy — Scale AI, Mercor, Labelbox — have quietly become some of the most technically demanding annotation infrastructure in the industry, with engineering teams commanding $280K–$420K to solve consensus algorithms for human preference data at 100,000 annotations per day.

OCT 8, 2026platform-engineeringrlhf-infrastructure
BRIEFINGUSA · AI
$274KTop of Microsoft MAI evaluations engineering band, Redmond, Q3 2026

Two Redmonds: Microsoft Cuts 493 Jobs and Posts $275K Evaluation Roles in the Same Quarter

Microsoft eliminated 493 Redmond roles effective September 4 while simultaneously posting MAI Superintelligence Team evaluations engineering positions at $142,800–$274,800. The Seattle metro now runs two parallel AI talent markets — one contracting, one paying frontier-lab rates.

OCT 6, 2026AI Trainer EconomySeattle AI

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