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Hilman I.

Hilman I.

Business Operations Specialist

Indonesia flagDepok, Indonesia

Key Skills

Software

Other

Top Subject Matter

Speech-to-speech LLM optimization
audio labeling
Transcription Domain Expertise

Top Data Types

AudioAudio
TextText

Top Task Types

TranscriptionTranscription
RLHFRLHF

Freelancer Overview

Business Operations Specialist. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Business Administration, Universitas Terbuka. AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription and RLHF.

Labeling Experience

AI Trainer (Speech-to-Speech Optimization) — Remote (June 2026 – Present)

OtherAudioAudioTranscriptionTranscription

Performed speech-to-speech optimization by evaluating and refining audio-to-audio LLM interactions for high-fidelity speech recognition and natural language generation. Conducted rigorous audio data labeling and transcription to improve model responsiveness and prosody in line with global quality benchmarks. Managed high-volume task pipelines to meet daily throughput targets while preserving expert-level accuracy in complex speech-based evaluation. • Labeled and transcribed audio data for model training improvements • Audited audio-to-audio interaction quality for recognition and generation fidelity • Maintained strict adherence to benchmark quality requirements • Tracked throughput and accuracy across daily evaluation batches

2026 - Present

AI Operations & Data Integrity Specialist — Remote (April 2026 – June 2026)

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Supported RLHF & model tuning optimization by executing high-precision data labeling and rigorous fact-checking for global-scale AI initiatives. Contributed to improving model reliability and reasoning capabilities through quality-controlled labeled inputs and verification. Conducted proactive quality assurance by evaluating AI-generated responses to achieve expert-level accuracy above 80% and reduce hallucinations for safer, more factual output. • Labeled training data for RLHF and model tuning workflows • Performed fact-checking to validate labeled content and outputs • Evaluated response quality to control for hallucinations • Used analytics frameworks to prioritize and resolve complex items

2026 - 2026

Education

U

Universitas Terbuka

Bachelor of Business Administration, Business Administration

Bachelor of Business Administration
Not specified

Work History

N

N/A

Operations Specialist

Depok
2017 - 2025
N

N/A

Business Operations Specialist

Depok
2017 - 2025