Looking for a job

Jaciana Nogueira

@jaciananogueira

Message

Human Data & LLM Evaluation Specialist | AI Quality, Trust & Human-in-the-Loop Systems (EN/PT)

Brazil

Message

What I'm looking for

I seek a role at AI Trainer or AI Evaluator

AI Data Trainer & Human Data Specialist with hands-on experience in LLM evaluation, factual verification, multimodal image review, and safety and quality assessments for large AI organizations, including Innodata and Invisible.

I specialize in turning ambiguity into structured judgment — consistently delivering high accuracy in high-volume, guideline-driven environments while adapting quickly to evolving workflows and evaluation standards.

I hold a Bachelor’s degree in Industrial Engineering and a postgraduate specialization in Cybersecurity and Information Security with Artificial Intelligence, bringing a strong foundation in risk, trust, and system reliability. I also completed an academic year at Hofstra University (NY) through Brazil’s Science Without Borders program.

My work sits at the intersection of human judgment, data quality, and operational design. I am particularly interested in human-in-the-loop systems, evaluation frameworks, and processes that ensure AI performance scales without losing nuance, context, or trust.

I also founded Stormfire, an independent initiative focused on AI literacy, content design, and structured prompt strategies, with demonstrated success in engagement and cross-platform communication.

I bring a rare combination of engineering logic, cybersecurity mindset, and linguistic sensitivity — allowing me to evaluate, refine, and stress-test AI systems with rigor, clarity, and human-centered reasoning.

Experience

Work history, roles, and key accomplishments

Current

Founder

Current

Stormfire

Jan 2024 - Present (2 years 3 months)

Founded an AI education and research project producing accessible AI content, prompt frameworks, datasets and repositories while conducting independent research on LLM behavior, memory architectures, and safety.

Research Prompt Engineering Hugging Face Fine Tuning LLaMA GitHub Content Development

AI Image Evaluation Contractor

Invisible Technologies

Jul 2025 - Nov 2025 (4 months)

• Conducted artifact detection and distortion identification, including anatomical errors, perspective issues, and prompt misalignment.
• Completed over 60 images daily in under 2 hours while maintaining consistent quality assurance and
guideline adherence.
• Collaborated with QA teams via Slack to ensure accuracy, policy compliance, and AI
safety standards, applying content moderation.

Image Evaluation Visual QA Artifact Detection Slack

AI Fact-Checking Specialist

Innodata

Sep 2025 - Oct 2025 (1 month)

• Performed LLM evaluation and fact-checking, validating AI-generated responses by decomposing outputs into verifiable factual claims.
• Conducted independent research and evidence verification using trusted sources for claim validation in both EN-PT(BR)
• Achieved a 95 to 100 percent accuracy rate on rubric-based QA evaluation under strict quality assurance standards.

Fact Checking Research STR Google Search Quality Assurance

Process Analyst

Franchise Documentation Project

Dec 2018 - Nov 2020 (1 year 11 months)

• Developed operational manuals, Standard Operating Procedures, and workflow documentation for
franchise execution.
• Mapped and structured scalable training frameworks using industrial engineering methods to optimize
clarity, compliance, and repeatability.

Process Mapping Workflow Design Operations Technical Writing Process Improvement

Education

Degrees, certifications, and relevant coursework

XP Educação

Postgraduate Degree, Information Security with Artificial Intelligence

2024 - 2025

Postgraduate program focused on information security, cybersecurity, and applied artificial intelligence with emphasis on AI security and risk.

Hofstra University

Exchange Program, STEM Foundation

2015 - 2016

Gained international experience, enhancing a global AI perspective and advanced English proficiency, critical for international AI training platforms. Developed a multidisciplinary approach to technology challenges.

Universidade de Itaúna

Bachelor's, Industrial Engineering

Developed skills in systems thinking, process optimization, data analysis, and problem-solving methodologies. This foundation is relevant for understanding and improving AI training workflows.