Synthetica

is a document automation and workflow intelligence company specializing in AI-driven solutions for processing, understanding, and automating complex document pipelines. We build cutting-edge models that reason over images, language, and structured data — and we’re looking for a detail-oriented AI Data Specialist

to help power that work.

Responsibilities

• Build and curate document datasets spanning image, language, and reasoning tasks for model training
• Create and maintain synthetic data pipelines to generate scalable, high-quality document corpora
• Tag and annotate document elements — form fields, tables, text regions, and layout structures — across scanned and digital documents
• Precise Data Labeling: Identifying and tagging specific objects within images, videos, or text (e.g., drawing bounding boxes around pedestrians or labeling parts of speech).
• Quality Assurance: Reviewing and correcting existing annotations to ensure they meet strict accuracy standards and consistency across large datasets.
• Edge Case Identification: Spotting and documenting ambiguous data that doesn't fit standard labeling rules to help engineers refine model logic.
• Feedback Loop Collaboration: Working with data scientists to understand project-specific guidelines and providing feedback on the efficiency of the annotation tools.
• Maintain documentation of annotation schemas and update guidelines as new document types and project requirements emerge

Requirements

• Excellent attention to detail and accuracy in completing tasks
• Strong ability to follow instructions and apply guidelines consistently
• Basic knowledge of data entry tools and techniques
• Ability to work independently and meet deadlines
• Familiarity with machine learning concepts
• Familiarity with model training coding pipelines
• Strong communication skills

Nice to Have

• Prior experience in data annotation, document processing, or related data work
• Experience in model training workflows, dataset curation, or evaluation system design
• Interest in building and benchmarking AI evaluation frameworks and quality metrics
• Familiarity with Python or SQL for basic data manipulation
• Interest in AI, machine learning, and document understanding
• Experience with version control tools like Git



Benefits

• Competitive compensation & ticket restaurant card
• Flexible working schedule & extensive insurance plan
• Cutting-edge IT equipment and continuous training programs
• Coding assistants provisioning