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David G.

David G.

Remote Data Evaluation Specialist (Independent Contractor) — high-fidelity annotation, video partitioning, RLHF optimiza

United States Minor Outlying Islands flagN/A, United States Minor Outlying Islands

Key Skills

Software

MercorMercor

Top Subject Matter

AI model evaluation
Rlhf Domain Expertise
multi-modal training data

Top Data Types

VideoVideo
TextText
DocumentDocument

Top Task Types

RLHFRLHF

Freelancer Overview

Remote Data Evaluation Specialist (Independent Contractor) — high-fidelity annotation, video partitioning, RLHF optimiza. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor, OpenTrain, and Aligner. AI-training focus includes data types such as Video and labeling workflows including RLHF.

Labeling Experience

Remote Data Evaluation Specialist - Independent Contractor

VideoVideoRLHFRLHF

As a Remote Data Evaluation Specialist, you performed quality-focused evaluation and verification work for AI-related datasets and workflows. You ensured outputs were aligned with human intent while adhering to strict safety guidelines and data quality standards. Your physics and electronics background supported specialized checks and robust quality control throughout the engagement. • Delivered high-fidelity data evaluation support, including precise video partitioning workflows • Conducted RLHF-related optimization and multi-modal data quality checks • Aligned model behavior and outputs with user intent and safety requirements across major platforms • Applied technical expertise to verify complex data and maintain rigorous QC processes

2024 - Present
Mercor

Remote Data Evaluation Specialist (Independent Contractor) — high-fidelity annotation, video partitioning, RLHF optimization, and multi-modal labeling

MercorMercorVideoVideoRLHFRLHF

Remote independent contractor performing high-fidelity video partitioning and RLHF-related optimization for AI training data. The work includes multi-modal data labeling and rigorous alignment of model outputs with human intent and strict safety guidelines. Responsibilities also cover verification and quality control using domain knowledge in physics and electronics. • Video partitioning for dataset preparation • RLHF optimization for training/evaluation workflows • Multi-modal data labeling and quality checks • Alignment with human intent and safety standards

2024 - Present

Education

U

university of California

Degree not specified

Not specified
Not specified

Work History

I

Independent Contractor

Remote Data Evaluation Specialist

N/A
2024 - Present