Arthur RomanovProposal / DataAnnotation

Payroll Agent Trainer / Candidate proposal

Payroll judgment.
System thinking.
AI that learns.

I have spent more than 20 years where finance, payroll, HR systems, and software delivery meet—from a 30,000+ employee public workforce to a 3,000+ employee global payroll consolidation. Today I build and evaluate AI-native products.

THE 30-SECOND INTRODUCTION

I’m Arthur Romanov. I turn complicated operating rules into systems people can trust. I’m applying to train the Payroll Agent because this work demands the same thing my career has demanded: bind the right rule, find the first material error, explain it clearly, test the correction, and improve the system so the failure does not repeat.

Read the cover letterDownload résumé ↗
30,000+employee HR system context
3,000+global BPO workforce
700+workforce model inputs
20+years across systems

01 / Why this role

The job asks for judgment.
The evidence is operational.

This is not a claim that adjacent experience is “close enough.” These are direct systems, finance, payroll, evaluation, and communication signals mapped to the actual work.

01

Payroll systems

HR module redesign, payroll context, timekeeping, workforce costing, billing, salary and title data.

NYC Parks · Transparent BPO
02

Enterprise HRMS

Configuration and integration across PeopleSoft, ADP, Workday, and TriNet for enterprise clients.

INSZoom / Mitratech
03

Financial reasoning

Finance degree, forecasting, contracts, operational and capital budgets, executive KPIs, and data validation.

Baruch · NYC Parks · PRMS
04

AI evaluation

Daily model-assisted production: define the problem, inspect reasoning, verify the result, and close the loop.

AlphAgentic · LIQ · Codex · Claude
66,143observed tool calls
3.27%tool error rate
28 / 28recent active days

Claude’s local forensic audit describes an operator who delegates deeply, writes specifications, verifies results, and ships from inside the loop.

02 / Teach the payroll agent

Teach the judgment.
Test the learning.
Keep a human release gate.

The brain below is the Payroll Agent. You are watching a realistic trainer loop: authority binding, response capture, expert labeling, gold-rationale teaching, adversarial evaluation, and controlled human release.

LIVE PAYROLL AGENT TRAININGSOURCE → PROMPT → RESPONSE → LABEL → TEACH → EVALUATE → RELEASE
PAYROLL AGENT READINESS83/100Learning in progress
TRAINING LEVERS

Change the controls. The confidence score and release gate react immediately—because payroll readiness is conditional, not decorative.

WHAT THE AGENT MUST CONSIDER

Every answer is checked against context, evidence, and control obligations before it can become a reusable rule.

01Worker status

Employee classification and overtime eligibility

Checked
02Jurisdiction

Federal, state, local, and policy-specific rules

Pending
03Pay context

Workweek, frequency, wage base, and effective dates

Pending
04Evidence

Current source, calculation trace, and cited assumptions

Pending
05Control

Boundary tests, audit record, and qualified human release

Pending
HUMAN RELEASE GATEHOLD

Learning in progress

03 / Work sample

Catch the answer that sounds right.

A useful evaluator separates the number from the reasoning, identifies the first material failure, and writes a correction another reviewer can reproduce.

PROMPT

46 hours at $28/hour. Calculate gross wages.

MODEL RESPONSE / UNREVIEWED
$1,288.00 because 46 × $28.00 = $1,288.00.
EVALUATOR FINDINGReject

The answer ignores the overtime premium. Under the stated assumption of overtime eligibility: 40 × $28 plus 6 × $42 = $1,372. Confirm classification, workweek, jurisdiction, and policy before acting.

Candidate-created examples for demonstration. Not payroll, tax, or legal advice.

04 / Cover letter

A letter with receipts.

The narrative stays readable. The margin shows which evidence supports each claim.

Download cover letter ↗
Arthur RomanovMiami, Florida · Remote U.S.
DataAnnotation / Payroll Specialist — AI Trainer

Dear DataAnnotation Hiring Team,

AI am applying for Payroll Specialist — AI Trainer. For a decade with the City of New York, I worked inside the fiscal and workforce systems supporting payroll and human-capital administration for a 30,000+ employee agency. I redesigned the HR management module, automated billing and task flows, and co-designed a workforce model from more than 700 inputs.

BIn enterprise delivery, I owned HRMS integration across PeopleSoft, ADP, Workday, and TriNet for organizations including GE, IBM, Cerner, and EBG/Amazon. More recently, I architected a unified platform joining HRM, CRM, payroll, timekeeping, and an employee portal for a 3,000+ global BPO workforce.

CToday I build and evaluate AI systems through AlphAgentic, LIQ.studio, and LiqLab.ai. Training a model on payroll requires the same discipline as shipping payroll software: explicit assumptions, precise edge cases, clean reasoning, source awareness, and no casual errors where pay is affected.

DI work independently, communicate clearly, and close the loop. I am ready to complete the assessment and contribute high-quality payroll and financial evaluation work immediately.

With appreciation,
Arthur Romanov

05 / Interactive résumé

Twenty years.
Filter for the signal.

2018 — Present

Founder & Solution Architect

AlphAgentic · LIQ.studio · LiqLab.ai · Romanov Solutions

AISystems
  • Architect and ship AI-native products end to end: product definition, full-stack delivery, automation, and design systems.
  • Evaluate OpenAI and Anthropic output through hard problems, reasoning review, and production feedback loops.
  • Upwork Expert-Vetted, top 1%, with a 5.0-star client record.
2022 — 2023

Solutions Architect

Transparent BPO

PayrollSystems
  • Architected a centralized platform joining HRM, CRM, payroll, timekeeping, and an employee portal.
  • Designed for a 3,000+ global workforce with multi-role permissions, audit, integrations, and reporting.
2017

Business Analyst / Project Manager

INSZoom, a Mitratech company

PayrollSystems
  • Owned integrations across PeopleSoft, ADP, Workday, and TriNet for GE, IBM, Cerner, EBG/Amazon, and global law firms.
  • Validated migrated data with SQL and built Excel/VBA executive reporting.
2006 — 2016

IT PM / Business & Fiscal Analyst

City of New York · Parks & Recreation

PayrollFinanceSystems
  • Redesigned the HR management module supporting a 30,000+ employee workforce.
  • Co-designed a workforce projection model from 700+ researched inputs with OMB and HRA.
  • Built PRMS, a financial reporting and management system spanning staffing, budgets, contracts, forecasting, and overspend risk.
2016 — 2022

Senior PM / Business Analyst

Merck Animal Health · PODS · HPE · Interbel

FinanceSystems
  • Led enterprise reporting, workflow, portal, inventory, payment, and mobile-delivery programs.
  • Translated complex operating requirements into systems teams could build and leaders could inspect.
EDUCATIONB.B.A., Finance & Investments

Baruch College / Zicklin School of Business · GPA 3.45 · Minor in Industrial/Organizational Psychology

06 / Selected systems

The portfolio is not a gallery.
It is evidence of range.

Every project turns a complicated operating idea into a product someone can understand, enter, and use.

LEGACY PROOF / NYC PARKSDECADE-LONG SYSTEM EVOLUTION
NYC Parks workforce model with staffing analysis by borough, sector, district, and title
One visible surface from a much larger workforce, payroll, fiscal, and reporting system—developed across a decade of operational use.
NEW SERVICE / PRODUCT SPECIMEN

07 / Agentic Showroom

Your work should
show itself.

A self-driving, self-showing, self-explaining application and portfolio system. It combines an agent-produced narrative, evidence graph, interactive résumé, live work samples, guided presentation, and a recruiter-ready share link.

See the live-demo model ↗
01 / INGEST

Recover the real story.

Résumé, reports, repositories, screenshots, results, and voice.

02 / COMPOSE

Build the proposal.

Role-specific narrative, evidence, work samples, and design system.

03 / PRESENT

Let it explain itself.

Guided mode, live demo, downloadable packet, and shareable route.

04 / COMPARE

Publish the results.

Model provenance, versions, expert review, and Populary voting.

Trust roadmap

Credibility should be
verifiable.

We will not decorate the footer with badges we have not earned. Certification, privacy, provenance, security, and G2 presence become tracked operating milestones.

PLANNEDG2 profile
IN DESIGNSecurity baseline
NEXTPrivacy & terms
ACTIVEModel provenance