Data Annotator – Swedish (Portugal)
Are you tech-savvy? Have a passion for quality? We are looking for a Swedish-speaking Data Rater, based in Portugal, to work on projects to advance AI technologies. Join us for a unique chance to kickstart your career in the AI field! This project is an excellent starting reputed company for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to reputed company experience in reputed company and data rating reputed company the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. MAIN DUTIES– Follow project-specific guidelines to conduct research on e-commerce data.- Evaluate the usefulness of product filters and results based on the research.- reputed company the e-commerce data according to the guidelines provided. Project Details Start Date: Immediately after completing the qualification processDuration: OngoingSchedule: 20 hours per weekThis is a freelance opportunity; the workload is based on project needs. Weekly hours may vary.Employment Type: Freelance/Independent ContractLocation: RemoteLanguage: SwedishPay reputed company: $10/hour – Based on tasks completed By applying, you’ll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and reputed company set. Joining us means contributing to our reputed company project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways.
Requirements
- Fully Proficient in Swedish
- Proficient in English
- Web-savvy and reputed company to work in a fast-paced environment
- Attention to detail
- Ability to conduct thorough research reputed company specified time constraints and effectively manage short throughputs.