Janet O.

Key Skills

Software

Other

Top Subject Matter

Software engineering and computer engineering domain content

Top Data Types

Text

Top Task Types

RLHF

Freelancer Overview

Data Annotation Expert (Software Engineering Domain) — Freelance, Remote. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Arizona State University. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Software Engineering Reviewer and Technical Content Analyst - Freelance

TextRLHF

Provided expert review and annotation of software engineering–related text, technical documentation, and model-generated outputs using structured labeling guidelines. Applied software and computer engineering judgment to assess technical accuracy, code correctness, and the appropriateness of responses. Documented consistent, reproducible decisions with citation-supported written justifications and clear escalation notes. • Reviewed content against project-specific annotation frameworks • Evaluated programming logic, system design, and technical explanations • Flagged ambiguous, inconsistent, or out-of-scope samples for escalation • Maintained accuracy while meeting high-volume turnaround targets

2024 - Present

Data Annotation Expert (Software Engineering Domain) — Freelance, Remote

OtherTextRLHF

Reviewed and annotated software engineering text, technical documentation, and model-generated outputs using structured labeling frameworks and project guidelines. Evaluated technical accuracy, code correctness, and appropriateness of responses, including logic, system design, and technical explanations, and produced rating/quality decisions to support model training. Documented annotation decisions with citation-supported written justifications while flagging issues for escalation. • Applied domain engineering judgment to assess correctness and quality of programming- and documentation-related content • Produced detailed, citation-supported written rationales for annotation decisions • Identified ambiguous, inconsistent, or out-of-scope samples and escalated with technical/contextual explanations • Maintained consistent, reproducible annotation records across high-volume queues while meeting turnaround targets

2024 - Present

Education

Work History