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Characterization & Information Artist

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Hexagon Lavish
Full Time position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Department:
Information Science / Informational Layer

Reports to:

Chief Information Scientist or Director of Deterministic Science

Characterization & Information Artist / Specialized Information Scientist I

Location
:
The World Over…

Science / Full-Time

Position Overview

The Characterization & Information Artist is responsible for designing, implementing, and refining the deterministic characterization logic that powers IIMs (
Informational Interpretation Models
) across verticals (QSR, grocery, AV safety, manufacturing, etc.). You will translate real-world inputs into exact, scientifically grounded outputs while upholding the antiartificial philosophy: certainty instead of confidence, determinism instead of approximation.

This is not a machine learning role. We do not use probabilistic models, neural networks, statistical inference, or emergent behavior. All work is rule-based, algorithmic, and constitutionally enforced — zero tolerance for uncertainty or randomness.

About Hexagon Lavish®

Hexagon Lavish® (The Anti Artificial Company) is the world’s only entity engaged in informational interpretation — a deterministic, zero-probability paradigm that replaces probabilistic artificial intelligence with enforced certainty.

Hexagon Lavish® is the singular, sovereign alternative to the probabilistic stack — built from first principles, without VC capital, government ties, or compromise.

Everyone at Hexagon Lavish® will work under the banner of our signature five pillars of company character:
Principle
; Profile
; Foundation
; Applicability
; and Aptitude
.

DYNAMIC APPLICABILITY
  • Appropriate complexity reduction for algorithmic implementation
  • Apply the distinction between perception-manipulation and perspective with the color-temperature dynamic
  • Incorporate electromagnetic phenomena in algorithmic development and how they work in ï’s functional environments
  • Expand upon error correction in regards to imagery and informational interpretation
  • Participate in the development and design of specified algorithms for information feedback uncertainty
  • Design and implement deterministic characterization rules and primitives (e.g., object identification, quantity/portion measurement, temporal detection) that produce definitive character strings
  • Collaborate with engineering to integrate characterization logic into the custom IDE, enforcing determinism at compile time
  • Expand IIM assignments to new industrial capacities (e.g., AV perception, medical proxies) by creating vertical-specific deterministic derivations — never introducing probabilistic elements
  • Audit and verify outputs for law compliance, zero hallucination, and reproducibility (identical input → identical output, always)
  • Contribute to events history compounding — building deterministic pattern recognition without statistical training
  • Document characterization pipelines with full traceability for regulatory/partner audits
PRINCIPLE EQUIVALENCY
  • Draw distinctions between chromatic and tetrachromatic regarding the functionality assigned to ï
  • Research and implement methodologies that allows ï to operate outside of RGB constrictions
  • Ensure that ï detection functionality can distinguish between various resistor color codes
  • Contribute to product development from conceptual design, feasibility work to commercialization
  • Proven ability to write precise, rule-based algorithmic code with zero reliance on probabilistic or ML methods
  • Strong understanding of deterministic systems, formal logic, symbolic reasoning, or verifiable computation
  • Experience with image processing, computer vision rules, or sensor data interpretation (e.g., pixel-to-measurement conversions, optical/scale proxies) —
    without using ML models
  • Comfort with scientific grounding (physics/optics/chemistry principles) for measurement accuracy
  • Familiarity with traceability, auditability, or compliance-driven software (e.g., regulated industries)
  • Ability to thrive in a constitutional, non-negotiable environment — no shortcuts, no probabilistic crutches
  • Willingness to reject machine learning habits and embrace pure determinism
SKILLS FOUNDATION
  • Design the look and appeal of elements and characteristics
  • Characterize object signals for ï; outline…
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