Lazaru A.

Key Skills

Software

Other

Top Subject Matter

Content evaluation for AI training

prompt/response assessment

ethics & compliance

Top Data Types

Text

Document

Top Task Types

Data Collection

RLHF

Red Teaming

Freelancer Overview

Content Evaluation & Structured Analysis (Graduate Projects). Core strengths include Other. Education includes Master of Science. AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Ethics & Compliance (Graduate Projects)

TextRed Teaming

Performed ethics and compliance-focused reviews of content to ensure adherence to privacy and ethical guidelines during AI training-related tasks. Ensured careful, policy-aligned handling of sensitive information and maintained instruction-following precision across multi-step evaluation workflows. Supported safer dataset creation by applying safety and compliance checks prior to finalizing outputs. • Followed data privacy and ethical content-handling standards • Applied instruction and policy adherence checks during review workflows • Maintained precision in multi-step, rule-governed processing • Reduced risk by enforcing compliance before evaluation completion

2024 - Present

Data Structuring & Survey Design (Graduate Projects)

DocumentRLHF

Designed structured datasets and survey-oriented measurement schemes using ordinal, interval, and ratio scale concepts to prepare labeled data for downstream use. Ensured labeling clarity and consistency while incorporating bias-awareness and ethical considerations throughout dataset structuring. Followed multi-step instructions precisely to maintain reliability of the resulting evaluation materials and annotations. • Created structured data representations using ordinal/interval/ratio scale frameworks • Enhanced dataset clarity and consistency for evaluation readiness • Incorporated bias-awareness and ethical handling into data structuring • Ensured compliance with privacy and instruction/policy requirements

2024 - Present

Content Evaluation & Structured Analysis (Graduate Projects)

Text

Evaluated written content against explicit rubrics and quality benchmarks to support AI training and model assessment. Scored and reviewed coherence, factual support, and ethical considerations while ensuring outputs met defined quality standards. Provided concise written justifications tied to evidence to enable dataset and evaluation consistency. • Applied rubric-based quality scoring for structured content analysis • Assessed prompt-to-response quality using policy and instruction adherence criteria • Verified factuality and ethical/safety alignment during reviews • Wrote brief feedback and rationale for each evaluation outcome

2024 - Present

Education

Work History