Searching for entry-level remote admin jobs in the data and analytics field? This Data Rater role at Welo Global provides a unique opportunity for tech-savvy individuals to start their career in AI while working from home.
About the Role
As a Data Rater, you will be involved in evaluating e-commerce data to enhance AI technologies. This role is ideal for those looking to gain experience in data annotation and contribute to meaningful projects.
Why This Job Stands Out
- Kickstart your career in the high-demand AI industry
- Work remotely while contributing to innovative projects
- Join a dynamic freelance community with diverse project opportunities
Job Insights
Work TypeRemote work from home job
Experience LevelEntry Level
Who This Job Is For
- Tech-savvy individuals seeking entry-level remote data jobs
- Candidates passionate about quality and eager to work in AI
- Filipino remote workers looking for flexible freelance opportunities
What You Will Do
- Conduct research on e-commerce data following project-specific guidelines
- Evaluate the usefulness of product filters and results based on your research
- Rate e-commerce data according to the provided guidelines
What They Are Looking For
Skills & Experience
- Fully proficient in Dutch and proficient in English
- Strong attention to detail and web-savvy skills
- Ability to conduct thorough research within specified time constraints
What They Expect
- Manage short throughputs effectively while maintaining quality
- Follow guidelines meticulously to ensure accurate data evaluation
What They Offer
- Freelance opportunity with flexible hours based on project needs
- Pay rate of $2.25/hour based on tasks completed
- Comprehensive learning support for career development in AI
Tips for Applicants
- Highlight your language skills, especially in Dutch and English, in your application.
- Emphasize any experience you have with research or data evaluation.
- Showcase your ability to work independently and manage time effectively.
Frequently Asked Questions
What is the expected workload for this role?
The workload is based on project needs, typically around 20 hours per week, but weekly hours may vary.
Is there training provided for this position?
Yes, comprehensive learning support is offered to help you gain experience in data annotation and rating.
