Evans C.

Key Skills

Software

No software listed

Top Subject Matter

Code generation and technical model evaluation for RLHF workflows

Mathematical reasoning

algorithm design

Top Data Types

Text

Document

Top Task Types

Question Answering

Freelancer Overview

Code Generation Annotator and Technical Evaluator (Independent AI Training Contributor). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Science, Colorado State University (2021). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and Evaluation.

Labeling Experience

Instruction Following and Text Quality Annotator (Independent AI Training Contributor)

TextQuestion Answering

Labeled instruction-following tasks across creative writing, technical explanations, summarization, and question-answering domains. Scored whether model outputs fully satisfied user intent using rubric-based frameworks at high consistency. Annotated multilingual and multimodal content for relevance and accuracy while adapting quickly to new task schemas. • Instruction-following adherence assessment • Rubric-based scoring with well-documented label sets • Multilingual content quality and accuracy annotation • Multimodal/relevance checks aligned to evolving guidelines

2024 - Present

Reasoning and Math Task Annotator (Independent AI Training Contributor)

Text

Labeled AI-generated responses to mathematical reasoning, algorithm design, and systems-thinking questions. Evaluated logical coherence, step correctness, and whether conclusions follow from the provided reasoning. Flagged logical jumps, missing steps, incorrect assumptions, and hallucinated claims with actionable written critique. • Reasoning quality and mathematical step correctness evaluation • Logical-jump and missing-step identification • Hallucination and assumption checks with feedback • Consistent standards across basic-to-advanced difficulty levels

2025 - 2026

Code Generation Annotator and Technical Evaluator (Independent AI Training Contributor)

Annotated AI-generated code and evaluated outputs for functional correctness, efficiency, security vulnerabilities, and documentation quality. Produced structured preference rankings across multiple model-generated solutions to the same coding problem to drive RLHF signal. Reviewed subtle engineering edge cases including off-by-one errors and exception-handling issues to ensure technically accurate labels. • Functional correctness labeling and rubric-based scoring • Security vulnerability identification and code-quality assessment • Preference ranking comparisons for RLHF feedback • Edge-case and logic-bug annotation for expert-grade review

2025 - 2026

Education

Work History