JudgeMyAI | Expert LLM Evaluation, QA & Hallucination Detection
JudgeMyAI
Initializing your AI journey
SYSTEM ONLINE // CLASSIFIED AI FACILITY

AI doesn't improve itself.
Humans do.

The invisible layer behind intelligent systems. We engineer the human intelligence that trains, evaluates, and perfects artificial intelligence.

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Top 3 LLM Lab
Fortune 500 AI Division
Leading Conversational AI
Emerging Open-Source AI
Boutique GenAI Startup
Nous Research
Zephyr AI
OpenChat
192.168.1.1 Processing RLHF
3,247 Trainers Online
14.2k Prompts Today

Open Positions in the Neural Layer.

Sample roles from the network — live openings refresh daily on the careers board.

LLM Evaluator

Top 3 LLM Lab
RemoteFull-Time
Up to $180k
Check Openings

Hallucination Analyst

Enterprise Conversational AI
HybridContract
Up to $120/hr
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Prompt Engineer

GenAI Foundation Model Lab
RemoteFull-Time
Up to $220k
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AI Red Team Tester

AI Safety Institute
On-siteSafety
Up to $240k
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Annotation QA

Global AI Data Provider
RemotePart-Time
Up to $80/hr
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The Neural Ops Center

Real-time telemetry from our global evaluation network.

Alignment Telemetry
LIVE
98.7%
Alignment
12ms
Latency
14.2k
Throughput
Red Team Log
ATTACKING
Evaluator Efficacy
94%

Accuracy

Safety Block
99.9%

Blocked

API Latency
8ms

P99

We are the silicon in the valley.
The ghost in the machine.

Every breakthrough model has a secret. It wasn't just architected. It was taught. By us.

We are the human element in artificial intelligence. The pattern interrupters. The hallucination catchers.

Live Training Queue

Processing 14,892 prompts

ACTIVE

Accuracy

98.7%

Latency

12ms

From raw output to refined intelligence.

This is the JudgeMyAI effect.

72%

BASELINE QUALITY

Pre-Training Accuracy

72.0%

Post-RLHF Accuracy

98.7%

Hallucination Reduction

-94.2%

The Data Dimension

0

Prompts Processed Weekly

0

Elite AI Trainers

0

%

Trainer Retention

0

hr

Avg Hiring Time

LIVE GLOBAL NETWORK
Real-time trainer activity
192.168.44.12 (SF) RLHF Eval Completed
10.0.22.8 (London) Red Team Completed
172.16.4.9 (Tokyo) Prompt Grade Completed
198.51.100.23 (Berlin) Safety Completed

The Vetting Protocol

A 4-stage filtration system. Only the top 2% survive.

01. Cognitive Baseline

Logic, reasoning, and linguistic pattern evaluation.

02. Domain Immersion

Deep-dive into coding, law, medicine, or creative writing.

03. Red Team Simulation

Live adversarial testing against frontier models.

04. Final Calibration

Alignment with JudgeMyAI quality standards.

Training Categories

RLHF (Reinforcement Learning from Human Feedback)

Reinforcement Learning from Human Feedback. We provide the expert human feedback.

AI Red Teaming & Adversarial Testing

Adversarial attacks to find vulnerabilities before deployment.

Prompt Engineering & Optimization

Systematic design of inputs to optimize model outputs.

LLM Hallucination Detection

Fact-checking and grounding models in verifiable reality.

AI Safety & QA Evaluation

Ensuring alignment with ethical and safety guidelines.

AI Data Annotation & Labeling

Precision labeling for supervised fine-tuning pipelines.

Built for High-Stakes AI.

Industries that cannot afford misaligned models, fabricated citations, or safety failures.

Frontier AI Labs

Pre-launch evaluation, RLHF preference data, and red-teaming for foundation models heading to millions of users.

Healthcare & Medical AI

Board-certified physicians auditing clinical summaries, dosages, and diagnostic reasoning before deployment.

Finance AI

CFA charterholders and credit analysts verifying numerical claims, filings, and risk narratives claim-by-claim.

Legal AI

Licensed attorneys auditing case-law citations, contract analysis, and privilege boundaries at production scale.

Enterprise SaaS

Support agents, benefits copilots, and knowledge assistants hardened so policy answers stop hallucinating.

Open-Source Models

Lab-grade alignment on community budgets, including subsidized open-license preference and safety data.

AI Evaluation & Training Capabilities

Comprehensive human-in-the-loop solutions for artificial intelligence alignment.

  • LLM Evaluation: Rigorous human assessment of Large Language Models to ensure response quality, accuracy, and alignment with human intent.
  • QA (Quality Assurance): Systematic testing and validation of AI outputs to maintain high standards across various tasks and domains.
  • Hallucination Detection: Expert identification and mitigation of AI-generated misinformation, ensuring models are grounded in factual reality.
  • AI Data Annotation & Labeling: Precision data labeling and annotation services to build high-quality training datasets for supervised fine-tuning.
  • AI Red-Teaming: Structured adversarial testing of models to surface jailbreaks, unsafe outputs, and alignment failures before deployment.
  • RLHF Preference Data: Expert-ranked human preference pairs and reward-model training data produced by the top 2% of domain specialists.

Interactive Evaluation Mock

Drag the slider. See the quality shift. This is what we do.

▸ PROMPT INPUT
Explain quantum entanglement to a 5 year old.
▸ MODEL RESPONSE
Quantum entanglement is when two tiny things are connected in a special way. If you do something to one, the other one feels it instantly, even if they are far apart. It's like having two magic coins.
EVALUATION SCORE75
POOROPTIMAL

Give a model 10,000 prompts.
Give it 10,000 better ones.
Watch what changes.

How We Operate

Three phases. Zero downtime. Maximum alignment.

01

Deploy

Vetted evaluators matched to your domain and onboarded within 48 hours.

02

Evaluate

Continuous RLHF, red teaming, and hallucination detection across your model surface.

03

Iterate

Feedback loops close in hours. Model quality compounds with every cycle.

Global Evaluation Grid

Active in 23 countries. 6 continents. 1 standard.

What Frontier Labs Say

22 verified engagements across six sectors. Anonymized under NDA.

JudgeMyAI reduced our hallucination rate by 94% in two weeks.

JC
J. Chen Verified

VP of Safety, Top 3 LLM Lab

The RLHF data quality was unlike anything from other providers. Domain experts, not crowd workers.

SK
S. Kim Verified

Head of Training, European Open-Source AI

Their red team found 340 vulnerabilities our internal team missed.

RL
R. Liu Verified

Security Lead, Enterprise Conversational AI

Medical domain evaluation with 99.5% accuracy. No other provider matched this.

AP
A. Patel Verified

Chief AI Officer, Healthcare AI Startup

Scaled from 500 to 50,000 weekly evaluations without quality degradation.

DP
D. Park Verified

Director of RLHF, GenAI Foundation Model Lab

Caught subtle alignment drift our automated pipelines completely missed.

EV
E. Vasquez Verified

Head of Alignment, AI Safety Institute

Their vetting protocol is genuinely best-in-class.

TB
T. Bradley Verified

VP Engineering, Global AI Data Provider

Japanese evaluation was flawless. Native-level nuance detection.

YT
Y. Tanaka Verified

Research Lead, Asian Telecom AI

From onboarding to first evaluation in 36 hours. Unreal speed.

MT
M. Torres Verified

CTO, SafeAI Labs

Academic rigor meets startup velocity. Research-grade quality.

PH
Prof. Hayes Verified

Faculty Advisor, University AI Research Lab

Open model evaluation just got serious. The standard the ecosystem needs.

LC
L. Chang Verified

Product Lead, Nous Research

Red team operators are former NSA. Adversarial sophistication unmatched.

OK
O. Khalil Verified

Safety Researcher, Zephyr AI

Russian-language evaluation with deep cultural context.

NV
N. Volkov Verified

Evaluation Lead, Eastern European Search AI

Conversational nuance evaluation that understands context window effects.

CM
C. Morgan Verified

Head of Data, OpenChat

Zero hallucinations in diagnostic outputs after their 3-week sprint. Zero.

PS
P. Sharma Verified

Medical AI Director, BioGen AI

Stress-tested their evaluators with adversarial inputs. They held.

AN
A. Novak Verified

Red Team Manager, Hardware AI Accelerator

Their calibration methodology should be published. Genuinely novel.

SL
S. Laurent Verified

Alignment Scientist, Alignment Research Center

Seamless API integration. SOC 2 compliant from day one.

JW
J. Williams Verified

Training Infra, Cloud AI Provider

Deployed across 14 product lines. Consistent quality. No drift.

RS
R. Stone Verified

VP of AI Safety, Enterprise SaaS AI

Japanese semantic evaluation captures pragmatic meaning at unmatched level.

KM
K. Mori Verified

Comp. Linguist, NLP Analytics Lab

GDPR-native processes. Quality exceeds our internal benchmarks.

HF
H. Fischer Verified

QA Director, European Sovereign AI

Redesigned our test suite. 3x coverage with 40% fewer prompts.

MR
M. Rossi Verified

CTO, Mid-Cap Language Model Lab

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Frequently Asked Questions

What makes your evaluators different from Scale AI or Labelbox?
Our evaluators pass a 4-stage vetting protocol with a 2% acceptance rate. They are domain experts — PhDs, published researchers, former engineers — not generic crowd workers.
How fast can you deploy a custom evaluation team?
48 hours. We maintain a pre-vetted bench of 3,200+ specialists across 14 domains.
Do you support red teaming for safety evaluation?
Yes. Our red team operators include former cybersecurity professionals, adversarial ML researchers, and prompt injection specialists.
What compliance and security certifications do you hold?
SOC 2 Type II, ISO 27001, GDPR compliant, and HIPAA eligible. All work occurs within isolated, encrypted environments.
Can you handle multi-lingual evaluation?
We support evaluation in 47 languages with native-level fluency requirements.

Explore the Facility.

Every department, open for inspection.

Ready to build the neural layer
behind your AI?

Deploy elite evaluators. Reduce hallucinations. Ship aligned models.

Talk to Our Team