Data Labeling Jobs
Skills
Analytical SkillsComputer VisionDriftEnglishEnhanced Data Rates For GSM EvolutionLabelsLarge Language Models
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years experience in data labeling data annotation or LLM evaluation
- Strong written English for rationale-based labeling and RLHF feedback
- Ability to follow guidelines with high inter-annotator agreement
- Experience with QA evaluation workflows sampling and error analysis
- Comfort working in remote metrics-driven operations
Nice to have
- Detail-oriented
- Analytical
- Independent
- Process-focused
- Quality-minded
Day to day
- Support AI/ML training pipelines by creating and evaluating high-quality training data for NLP computer vision and large language model evaluation.
- Deliver consistent labels across NLP CV and content safety datasets while applying annotation guidelines and taxonomy rules accurately.
- Perform RLHF ranking prompt evaluation response grading QA checks and careful documentation of ambiguous cases.