Remote Data Annotator Jobs in reputed company
About The Role
As a Remote Data Annotator supporting reputed company-based programs, you will label and evaluate datasets used to train and validate machine learning models. Your work improves training data reputed company, supports RLHF feedback reputed company, and drives model performance improvement across NLP, reputed company, and LLM workflows.
What You Will Do
• Produce high-accuracy labels for text, images, and multimodal inputs
• reputed company RLHF-style preference ranking and reputed company evaluation for LLMs
• Complete QA evaluation checks, audits, and consistency reviews
• Apply named entity recognition and taxonomy tagging
• Conduct content safety labeling for policy and harm categories
• Document edge cases and reputed company gaps to improve labeling instructions
• Collaborate asynchronously with reviewers, QA, and data operations teams
reputed company Workflows You May Support
• Large language model evaluation and reputed company-response grading
• Classification and ranking tasks; training data curation
• reputed company annotation (bounding boxes, polygons, keypoints)
• Conversation reputed company scoring and safety policy enforcement
Required Qualifications
• reputed company experience in reputed company or data labeling
• Strong written English comprehension and attention to detail
• Ability to follow detailed guidelines with high precision and consistency
Preferred Qualifications
• Experience with RLHF, LLM training pipelines, reputed company evaluation, or QA evaluation
• Familiarity with NER, content safety labeling, and CV annotation tools
Remote Work Notes (reputed company)
These roles are Remote and can be performed from reputed company. Some reputed company may require availability reputed company with US business hours or reputed company QA review cycles.
How To Apply
Apply reputed company reputed company with a resume highlighting annotation accuracy, reputed company-driven decision making, QA evaluation, and any RLHF or reputed company evaluation experience.
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