Searching for mid-senior level data annotation roles in a fully remote setup? Rex.zone is looking for skilled Data Annotators to create and evaluate training data for AI and machine learning systems.
About the Role
As a Data Annotator at Rex.zone, you will be responsible for applying data labeling rules to various data types, ensuring high-quality datasets for AI/ML applications. Your work will support crucial tasks in natural language processing, computer vision, and content safety workflows.
Why This Job Stands Out
- Contribute to high-quality datasets used in AI and ML training
- Work remotely with a focus on data integrity and compliance
- Join a team dedicated to advancing AI technologies
Job Insights
Work TypeRemote work from home job
IndustryData and Analytics
Who This Job Is For
- Professionals seeking remote data annotator jobs in AI and machine learning
- Candidates with mid-senior experience in data labeling and QA evaluation
- Individuals comfortable with web-based labeling tools and compliance tracking
What You Will Do
- Apply data labeling rules to text, image, audio, or multimodal samples
- Perform RLHF tasks including preference ranking and rubric-based scoring
- Conduct quality assurance evaluations through self-checks and peer reviews
- Complete NLP labeling tasks such as named entity recognition
- Support prompt evaluations focusing on relevance and factuality
- Document edge cases and propose clarifications for guidelines
What They Are Looking For
Skills & Experience
- Mid-senior experience in data annotation or related operations
- Familiarity with LLM evaluation concepts and error taxonomies
- Strong written communication skills for documentation purposes
What They Expect
- Maintain training data quality under throughput targets
- Comfortable using web-based labeling tools and QA trackers
- Ability to escalate ambiguous examples for clarification
What They Offer
- Salary range of 5,200-8,667 PHP per month
- Fully remote work setup
- Opportunities for ongoing QA feedback and improvement
Tips for Applicants
- Highlight your experience with data annotation and QA evaluation in your application
- Familiarize yourself with LLM evaluation concepts to stand out
- Be prepared to demonstrate your communication skills through documentation samples
Frequently Asked Questions
What qualifications do I need to apply for the Data Annotator role?
Candidates should have mid-senior experience in data annotation, familiarity with LLM evaluation concepts, and strong written communication skills.
Is this position fully remote?
Yes, this Data Annotator role is fully remote, allowing you to work from home.
What is the salary range for this position?
The salary for the Data Annotator role ranges from 5,200 to 8,667 PHP per month.
