* Salário: R$ 3.000 a R$ 6.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Tecnologia da Informação
Nível: Junior
We are seeking a Data Engineer with strong UI engineering expertise to help design, build, and optimize AI-driven workflow systems within our Annotation Platform.
This role combines data engineering, AI model integration, and complex dynamic UI development. You will design data pipelines and structured outputs while also building intelligent, workflow-driven user interfaces that interact seamlessly with AI models.
You will work closely with ML engineers, product teams, and operations to ensure high-quality, scalable, production-ready AI workflows.
This is ideal for someone who understands both data systems and frontend workflow architecture, and can bridge AI outputs with human-in-the-loop systems.
Responsibilities:
Data Engineering & AI Systems
- Design and maintain structured data pipelines for AI training and evaluation
- Develop and refine AI/ML models to support product and business needs
- Implement data preprocessing, validation, normalization, and schema design
- Conduct exploratory data analysis to derive actionable insights
- Design ML-ready structured outputs for downstream systems
- Deploy and monitor AI models in production environments
- Collaborate with ML engineers on fine-tuning, RAG workflows, or evaluation systems
UI & Workflow Engineering
- Build complex, dynamic workflow-driven UIs using React
- Apply deep JavaScript / TypeScript expertise to design scalable frontend architecture
- Develop configurable workflow systems that adapt to customer guidelines
- Implement advanced conditional logic and validation systems
- Ensure seamless data flow between UI, backend, and AI models
- Optimize UI for productivity, quality control, and data integrity
- Architect modular, reusable UI components for large-scale annotation workflows
Required Skills:
Data & AI
- Strong programming skills in Python
- Experience with modern ML frameworks (PyTorch, TensorFlow, etc.)
- Solid understanding of:
- Data preprocessing
- Model training and evaluation
- Model deployment
- Familiarity with SQL and ETL workflows
- Strong understanding of structured data modeling and schema design
UI & Workflow Systems
- Deep JavaScript / TypeScript expertise
- Strong React experience
- Experience building complex dynamic workflow systems
- Experience designing logic-heavy, state-driven frontend applications
- Strong understanding of REST APIs and backend integration
- Experience ensuring structured and validated data output from UI systems
Cross-Functional
- Strong communication skills (written and verbal English)
- Ability to work independently in a distributed team
- Ability to translate business requirements into scalable technical solutions
Preferred Qualifications
- 1–3 years of experience in data engineering, applied ML, or AI systems
- Experience integrating AI models into production applications
- Exposure to fine-tuning, LLM evaluation systems
- Experience with cloud platforms (AWS, Azure, etc.)
- Experience building configurable internal tools or operational dashboards
- Basic data analysis skills (SQL, metrics, quality analysis, productivity tracking)
- Experience working in startup or fast-moving environments
What Makes You a Strong Fit
- You think in systems — both data flow and UI flow
- You understand how AI outputs must be structured for production
- You can design user interfaces that improve data quality and productivity
- You are comfortable handling evolving requirements
- You care about performance, reliability, and scalability
Job Type: Contract
Application Question(s):
- How many years of work experience do you have with Python (Programming Language)?
- Do you have proven experience building or maintaining data pipelines (ETL/ELT)?
- Do you have hands-on experience developing complex user interfaces (e.g., React, dashboards, or internal tools)?
Work Location: Remote