Data Labeling Expert - Remote
YO IT Consulting · Houston, TX
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- Hybrid
- Full-time
- $50,000 / year
- Houston, TX
Job highlights
- Annotate PDF documents for AI training.
- Identify and classify entities accurately.
- Follow detailed annotation guidelines.
- Work with complex document layouts.
- Ensure high-quality data for AI models.
About the role
Data Labeling Expert - Remote
Join a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success.
Your Profile
- Bachelor’s degree (any field; preference for Technology, Engineering, or Data-related disciplines).
- 6 months - 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).
- Strong attention to detail and ability to follow complex annotation guidelines.
- Basic understanding of document structures (text blocks, tables, forms, figures, etc.).
- Ability to interpret and apply rules related to bounding boxes, classification, and reading order.
- Comfortable working with repetitive tasks while maintaining high accuracy.
- Familiarity with annotation tools or platforms is a plus.
Key Responsibilities
- Annotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.
- Classify annotated elements according to project guidelines.
- Ensure bounding boxes are tight, accurate, and follow annotation standards.
- Maintain correct reading order and logical structure across document elements.
- Handle complex layouts including multi-column text, forms, tables, and rotated pages.
- Follow detailed annotation instructions and apply rules consistently across all tasks.
- Identify and flag unclear cases or guideline gaps to supervisors.
- Maintain confidentiality and adhere strictly to data security policies.
Key skills/competency
- Data Annotation
- PDF Annotation
- Bounding Boxes
- Entity Recognition
- Data Labeling
- AI Model Training
- Machine Learning
- Document Analysis
- Attention to Detail
- Data Security
Skills & topics
- Data Labeling Expert
- Data Annotation
- PDF Annotation
- AI
- Machine Learning
- Remote
- Contract
- YO IT Consulting
- Document Analysis
- Data Entry
How to get hired
- Tailor your resume: Highlight data annotation experience and attention to detail.
- Showcase understanding: Emphasize your grasp of document structures and annotation tools.
- Prepare for guidelines: Practice following complex instructions and maintaining accuracy.
- Demonstrate remote work skills: Highlight self-discipline and communication for remote roles.
Technical preparation
Practice PDF annotation tools.,Study document structure elements.,Learn bounding box techniques.,Understand classification rules.
Behavioral questions
How do you maintain accuracy with repetitive tasks?,Describe a time you followed complex guidelines.,How do you handle ambiguity in instructions?,How do you prioritize tasks under pressure?
Frequently asked questions
- What are the key responsibilities for a Data Labeling Expert at YO IT Consulting?
- As a Data Labeling Expert at YO IT Consulting, your primary responsibility is to accurately identify, classify, and annotate entities within PDF documents. This involves drawing precise bounding boxes, classifying elements, ensuring correct reading order, and handling complex document layouts to train AI models.
- Is prior experience in data annotation required for the Data Labeling Expert role?
- While 6 months to 2 years of experience in data annotation or labeling is preferred for the Data Labeling Expert position at YO IT Consulting, it is not mandatory. A strong attention to detail and the ability to follow complex guidelines are highly valued.
- What educational background is preferred for the Data Labeling Expert position?
- YO IT Consulting prefers candidates with a Bachelor's degree in any field for the Data Labeling Expert role. Disciplines related to Technology, Engineering, or Data are particularly favored, but a degree in any field is acceptable.
- What specific annotation tasks will a Data Labeling Expert perform on PDF documents?
- A Data Labeling Expert will perform tasks such as drawing precise bounding boxes around text, tables, figures, captions, and key-value structures. They will also classify these elements, ensure correct reading order, and handle complex layouts in PDF documents.
- How does the Data Labeling Expert role contribute to AI and machine learning at YO IT Consulting?
- The work of a Data Labeling Expert is crucial for training AI models. By accurately annotating data from PDF documents, you directly enable these models to extract structured information, which is fundamental for advancing machine learning and artificial intelligence initiatives for Fortune 100 clients.
- What kind of document structures should a Data Labeling Expert be familiar with?
- A Data Labeling Expert should have a basic understanding of document structures, including text blocks, tables, forms, figures, captions, headers, and key-value structures. This knowledge is essential for accurate annotation of PDF documents.
- Is this Data Labeling Expert role a remote position?
- Yes, the Data Labeling Expert position at YO IT Consulting is a remote role, offering flexibility in terms of work location.