Data Labeling Specialist

Job summary

Categorize, label, and annotate text, image, and audio data according to predefined guidelines and project instructions. Maintain accuracy and data quality across large datasets, participate in calibration exercises, and complete assignments independently.

Job details

Data Labeling Specialist (AI Training) About The Role What if your attention to detail could directly influence how AI systems understand the world? We're looking for Data Labeling Specialists to categorize, tag, and annotate the data that powers cutting-edge AI models — contributing to technology that's shaping the future of how machines think and communicate. This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and the ability to follow structured instructions. No prior AI or tech experience required — just consistency, focus, and a reliable internet connection. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Categorize and label data — including text, images, and audio — using predefined guidelines and tag sets Annotate content accurately and consistently across large datasets Follow detailed project instructions to ensure data quality meets research standards Participate in calibration exercises to maintain accuracy benchmarks Complete task-based assignments independently on your own schedule Who You Are Detail-oriented with a methodical, consistent approach to repetitive tasks Able to follow structured instructions precisely and adapt to project-specific guidelines Comfortable working with web-based tools and platforms Self-motivated and reliable when working independently No prior data labeling, AI, or tech experience required Nice to Have Experience with quality assurance, data entry, or structured review workflows Familiarity with AI tools or annotation platforms as an end user Background in research, transcription, or content classification Why Join Us Work on real AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based work Contribute to AI development that has a tangible impact on how technology understands the world Potential for ongoing work and contract extension as new projects launch

What you’ll do

Categorize, label, and annotate text, image, and audio data according to predefined guidelines and project instructions. Maintain accuracy and data quality across large datasets, participate in calibration exercises, and complete assignments independently.

Requirements

Applicants should be detail-oriented, consistent, self-motivated, and able to follow structured instructions while working independently with web-based tools. No prior AI, technology, or data-labeling experience is required; a reliable internet connection is needed.

Listed skills

• Attention to detail · Preferred
• Quality assurance · Preferred
• Data entry · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Labeling
• Data Categorization
• Data Annotation
• Text Annotation
• Image Annotation
• Audio Annotation
• Attention To Detail
• Following Instructions
• Data Quality
• Consistency
• Quality Assurance
• Data Entry
• Research
• Transcription
• Content Classification
• Independent Work

Job areas

• Data & Analytics
• Technology
• Software
• Science & Research

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