Spanish to English AI Trainer

Please call Chris if you have questions 281-817-4329
QUALIFIED APPLICANTS WILL BE AUTO SUBMITTED TO OUR PLATFORM AND WILL BE SENT ASSESSMENT LINK
Our ideal candidates will be tech savvy and able to closely follow written instructions. They will also have strong problem-solving skills and attention to detail, so people with experience as a customer service representative, administrative assistant, medical assistant, receptionist, or retail associate are encouraged to apply.

This role will be performed on-site at our client’s Uptown Central San Antonio office. 

Key Responsibilities:

• Evaluate and grade search results based on your knowledge of Mexican Spanish and culture to enhance the relevance of search evaluations.
• Analyze user intent behind search queries to optimize search result grading.

Key Responsibilities 
Tasks will change project to project, but typically fall into the following buckets of work:

• Multimodal data annotation: Accurately label and tag data, including images and text, following provided guidelines.
• Multiple-choice question generation: Create clear and high-quality questions for educational or AI training purposes.
• Quality assurance: Review and verify your annotations to ensure consistency and correctness across datasets.
• Data processing: Handle large volumes of data, ensuring tasks are completed within project deadlines while maintaining high attention to detail.

AI Tester Requirements

• Recent graduates are encouraged to apply, no prior experience required.
• Tech-savvy, with a preference for candidates familiar with Mac operating systems.
• Ability to work both independently and collaboratively within a team.
• Strong analytical and problem-solving skills.
• Ability to follow directions and perform time-sensitive tasks accurately and efficiently.
• Able to commute to San Antonio, TX (near the airport) and work in-office, Monday - Friday, from 8AM to 5PM.

Commitment: This is an independent contract position staffed via our staffing partner This role will be remote and is available for U.S.-based candidates who can ideally work between 10 and 40 hours per week. Workers will be able to set their own schedule.