**Data Labeling Specialist**:
**Position Type**: Full-Time
**Location**: Remote
**Job Summary**:
**Key Responsibilities**:
- Label and annotate data such as text, images, audio, or video according to provided guidelines
- Ensure high accuracy and consistency in data labeling tasks
- Review and validate labeled data to meet quality standards
- Follow project-specific instructions, taxonomies, and annotation rules
- Identify and flag ambiguous or low-quality data for review
- Meet productivity and accuracy targets within assigned deadlines
- Collaborate with team leads, QA teams, and AI/ML engineers when needed
- Maintain data confidentiality and comply with security and privacy policies
**Required Qualifications**:
- Bachelors degree preferred
- Strong attention to detail and ability to follow complex instructions
- Basic computer skills and familiarity with web-based tools




- Ability to work independently with mínimal supervision
- Good written communication skills
- Ability to handle repetitive tasks while maintaining accuracy
**Preferred Qualifications**:
- Previous experience in data labeling, data annotation, or QA roles
- Familiarity with AI, machine learning, or NLP concepts
- Experience labeling text, images, audio, or video data
- Basic understanding of spreadsheets or annotation platforms
- Multilingual skills (depending on project requirements)
**Skills & Competencies**:
- Excellent focus and precision
- Time management and organizational skills
- Analytical thinking
- Adaptability to changing guidelines
- Team-oriented mindset

📌 Data Labeling Specialist Remote (Ciudad de México)
🏢 Opsarmy
📍 Ciudad de México