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J
Jose Ferreira

Jose Ferreira

Brazil flagCamaçari, Brazil
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

No subject matter listed

Top Data Types

TextText
ImageImage

Top Task Types

Text GenerationText Generation

Freelancer Overview

I have solid practical experience in operating and configuring generative AI infrastructures, directly involved in provisioning cloud environments (Google Cloud Platform, RunPod) with dedicated GPU instances (such as L4 and A100). I possess extensive expertise in creating complex workflows and automations using platforms like ComfyUI, Vertex AI, and n8n, managing the entire technical lifecycle, from SSH access to port configuration and deployments. In addition to infrastructure, I have advanced familiarity with interacting with and extracting data from large language models (LLMs), particularly with the technical use of the Claude and Abacus AI ecosystems. My technical and analytical experience, combined with AI mentoring processes, gives me a keen eye for evaluating output quality, developing advanced prompts, and logical refinement—essential skills for ensuring highly accurate training data.

IntermediateEnglish

Labeling Experience

LLM Training Data Assessor and Logic Specialist (AI Tutor)

TextRLHF
Involvement in the development, testing, and refinement of workflows involving large-scale language models (Claude ecosystem via Vertex AI and Abacus AI). The main scope involved creating systemic prompts, evaluating the technical accuracy of the generated responses (fact-checking and logical consistency), and integrating AI outputs with automation platforms (n8n). The quality measures adopted included continuous iterations based on critical text analysis, aligning AI responses with rigorous guidelines for security, formatting, and practical usability.

Involvement in the development, testing, and refinement of workflows involving large-scale language models (Claude ecosystem via Vertex AI and Abacus AI). The main scope involved creating systemic prompts, evaluating the technical accuracy of the generated responses (fact-checking and logical consistency), and integrating AI outputs with automation platforms (n8n). The quality measures adopted included continuous iterations based on critical text analysis, aligning AI responses with rigorous guidelines for security, formatting, and practical usability.

2026 - Present

Prompt Engineer and Image Workflow Developer (ComfyUI/Flux)

ImageFine Tuning
Management and technical operation of cloud infrastructure (Google Cloud Platform, RunPod) using dedicated GPUs (L4 and A100) for the deployment of ComfyUI environments and advanced models such as Flux.1. The scope of work involved the creation of complex image generation pipelines, rigorous refinement of visual parameters, and the development of detailed technical prompts. Quality assurance was established through iterative prompt fidelity testing, correction of visual artifacts, and resolution of infrastructure bottlenecks via SSH terminals.

Management and technical operation of cloud infrastructure (Google Cloud Platform, RunPod) using dedicated GPUs (L4 and A100) for the deployment of ComfyUI environments and advanced models such as Flux.1. The scope of work involved the creation of complex image generation pipelines, rigorous refinement of visual parameters, and the development of detailed technical prompts. Quality assurance was established through iterative prompt fidelity testing, correction of visual artifacts, and resolution of infrastructure bottlenecks via SSH terminals.

2026 - Present

Education

C

Colégio Estadual José de Freitas Mascarenhas

Ensino médio completo, Ensino médio completo

Ensino médio completo
2008 - 2010

Work History

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