Music Field SME for AI Testing (Remote) - TRUCKING PEOPLE

Please call Liza if you have questions 281-612-1870
QUALIFIED APPLICANTS WILL BE AUTO SUBMITTED TO OUR PLATFORM AND WILL BE SENT ASSESSMENT LINK
Pay set at 25.00 an hour 1099
We are helping an established AI company pioneering new approaches to data development find AI Data Annotators with an Music background.

In this role, you’ll label, categorize, and evaluate data to train machine learning models. This includes tasks annotating objects in images, tagging pieces of text, or generating/evaluating multiple-choice questions to support AI models that depend on high-quality labeled data for accuracy. 

We are seeking people who can maintain a high level of attention-to-detail while completing tasks that take 10-40 minutes to complete. This is an excellent opportunity for people interested in contributing to AI advancements and can lead to engagement on other projects in the future.

AI Tester 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

• Bachelor's Degree or higher in a Music related field (e.g. Music, Musicology, Music Education, Ethnomusicology, Vocal Performance)
• Attention to detail: Precision is crucial, as incorrect labeling can impact the performance of machine learning models.
• English proficiency: Excellent written and verbal communication skills, especially for generating content and annotating text-based data.
• Self-motivation: Ability to work independently and manage time effectively in a remote work environment.
• Data literacy: Experience or familiarity with handling and processing various types of data is preferred.
• Technical aptitude: Comfort with basic software tools, spreadsheets, or annotation platforms is beneficial.

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.

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