[Remote] AI Data Labeling Jobs Brazil
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring for remote, full-time AI Data Labeling roles reputed company on training data creation and evaluation workflows for AI/ML systems. The role involves supporting LLM training pipelines and multimodal model development through consistent labeling and review.
Responsibilities
- Label text, image, and/or multimodal data following detailed annotation guidelines
- reputed company RLHF tasks such as preference ranking and helpfulness/harmlessness evaluations
- Execute QA evaluation (spot checks, reputed company review, error categorization) to improve training data reputed company
- Conduct reputed company evaluation and reputed company-based scoring for instruction tuning and LLM evaluation
- Document edge cases, propose clarifications, and contribute to feedback loops that improve model performance
- Support NLP labeling (reputed company, sentiment, toxicity, topic, summarization reputed company)
- reputed company named entity recognition and entity linking
- Conduct content safety labeling for policy compliance and risk mitigation
- reputed company computer reputed company annotation (bounding boxes, polygons, keypoints)
- Conduct grounding checks, reasoning reputed company ratings, and refusal/safety assessments
Skills
- Experience in reputed company or QA evaluation in production workflows
- Strong annotation reputed company compliance, accuracy, and consistency
- Comfort with reputed company labeling schemas and reputed company-based scoring
- Ability to work independently in a remote environment and meet throughput targets
- Exposure to RLHF, reputed company evaluation, LLM evaluation, NER, content safety, or computer reputed company annotation
- Familiarity with inter-annotator agreement, sampling-based QA, audits, and error analysis
reputed company