Data Annotation Specialist

We are seeking a detail-oriented Data Annotator to support the preparation of training and evaluation datasets for AI and machine learning projects serving clients across the US, UK, and Europe. In this role, you will be responsible for labeling text, documents, and images, as well as reviewing AI-generated responses according to specific project guidelines. Accuracy is paramount, as the quality of AI models depends heavily on the data they are trained with. You will be expected to maintain consistency in labeling, verify your own work, and collaborate with the team to ensure uniform standards.

Key Responsibilities:
- Label and tag various data types including text, documents, and images following project-specific instructions.
- Review and evaluate AI-generated outputs for accuracy, relevance, and tone, particularly for tasks involving large language model (LLM) evaluation and reinforcement learning from human feedback (RLHF).
- Extract and organize information from documents such as invoices, forms, and reports into structured formats.
- Conduct quality checks on your own annotations as well as those of your teammates, identifying and correcting errors.
- Identify ambiguous cases and unclear instructions, providing feedback and suggestions to improve annotation guidelines.
- Consistently meet daily targets for both volume and accuracy, while maintaining up-to-date task tracking records.

Required Qualifications:
- 1 to 2 years of experience in data annotation, data entry, content moderation, or other roles requiring strong attention to detail; fresh graduates are also encouraged to apply.
- Bachelor’s degree in any discipline.
- Excellent reading comprehension and written English skills.
- High level of accuracy and patience for repetitive tasks requiring careful attention.
- Proficiency with Google Sheets or Excel and the ability to quickly learn new web-based tools.
- Ability to follow detailed written instructions precisely.

Preferred Qualifications and Benefits:
- Experience using annotation platforms such as Label Studio.
- Basic understanding of how labeled data is utilized in AI and machine learning model training.
- Familiarity with LLM evaluation, prompt writing, or RLHF projects is a plus.

Perks and Benefits:
- Allowances for gym, travel, and food expenses.
- Opportunities for annual certification to enhance professional skills.
- Paid time off and holidays to support work-life balance.
- Bi-annual performance reviews accompanied by bonus incentives.

This role offers a great opportunity to contribute to cutting-edge AI projects while developing expertise in data annotation and machine learning workflows. If you are meticulous, motivated, and eager to grow in the AI field, we encourage you to apply.