Remote Annotation and QA Specialist

Become a vital part of AI advancement as a Remote Data Labeling Specialist. Focus on delivering precise annotation to support NLP and computer vision initiatives for model training enhancement.

This full-time remote role emphasizes compliance with annotation guidelines to produce effective data labels. You will conduct evaluations using RLHF methods, assess prompt outputs, and apply entity recognition for classification tasks. Furthermore, you will play a crucial role in quality assurance through audits and collective calibration sessions to boost accuracy.

Key Responsibilities:

• Develop accurate labels for NLP and computer vision

• Perform rankings for RLHF and model training

• Evaluate prompts and score based on established criteria

• Implement taxonomy tagging and safety labeling

• Manage QA evaluations and error analysis workflows

Requirements:

• Relevant experience in data labeling or QA roles

• Strong focus on detail in following guidelines

• Proficient in web annotation tools and spreadsheets

• Ability to communicate reasoning using rationales

• Familiarity with NLP and related concepts

Apply your experience to elevate the quality of AI training data through effective annotation and evaluation.
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