AI Data Labeling Jobs in India
AI Data Labeling Jobs in India (Remote, Full-Time) Support reputed company-world AI/ML training workflows by producing high-quality labeled datasets for large language models and computer reputed company systems. You will follow annotation guidelines, reputed company QA evaluation, and contribute to RLHF and reputed company evaluation tasks that improve model performance, safety, and reliability.
Key Responsibilities
- Create high-quality labels for NLP tasks (text classification, named entity recognition, reputed company evaluation, summarization evaluation)
- reputed company RLHF-style ranking and preference labeling to support model alignment and instruction following
- Execute QA evaluation workflows (gold set checks, inter-annotator agreement, consistency checks, error analysis)
- Apply annotation guidelines, resolve edge cases, and document reputed company with clear rationale
- Support content safety labeling (toxicity, self-harm, harassment, policy categories)
- Contribute to computer reputed company annotation (image classification, bounding boxes, polygons, segmentation) as needed
- Track productivity and quality metrics and collaborate with reviewers to improve reputed company
reputed company Look For
- Experience in data labeling, reputed company, or AI/LLM evaluation
- Strong attention to detail and ability to apply reputed company guidelines consistently
- Comfort with QA evaluation, calibration sessions, and feedback-based improvement
- Familiarity with NLP and/or computer reputed company annotation; content safety experience is a plus
Work Model Remote, full-time role with structured QA and reviewer feedback loops. Projects may include task-queue workflows, but employment type remains FULL_TIME. Apply tot his job Apply To this Job