Original listing text, shown exactly as published by the company.
What we are looking for!
RWS Group is looking for USA-based Italian Data Annotators to annotate, evaluate and curate text, video and geographic data. This information will be used to train and improve generative AI and machine learning models.
This role requires close collaboration with RWS Project Managers and client stakeholders through regular video meetings to ensure alignment, quality, and continuous improvement.
Responsibilities
- Annotate data accurately and consistently according to predefined guidelines in the required language.
- Perform basic research as needed to ensure accurate annotation.
- Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.
- Maintain high attention to detail and quality throughout the annotation process.
- Continuous learning and adaptability; willingness to provide feedback and ask questions.
- Training will be provided post-hire.
- Collaborate closely with RWS Project Managers and client stakeholders through regular video calls to discuss guidelines, quality expectations, and project updates.
Job Requirements
- Native-level proficiency in Italian.
- Excellent comprehension and written communication skills in English. Additional language knowledge is a plus.
- Located in any of the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI.
- Ability to work full time, from 8:00 AM to 5:00 PM PST (Pacific Standard Time).
- Bachelor's degree or equivalent work experience required.
- Familiarity with Excel or Google Sheets, including basic formulas.
- Good general communication skills.
- Detail-oriented with the ability to understand and follow instructions.
- Ability to meet deadlines.
- Responsible, reliable, and communicative.
- Must successfully pass a client exam and interview with the hiring team as part of the selection process.
- A personal laptop/desktop to access RWS systems.
Preferred Qualifications
- Familiarity with the Appen Annotation Platform (ADAP) and machine learning principles.
- A broad range of interests with specific areas of expertise is a plus.
- Experience in a professional work environment.
- Previous experience with data annotation tasks.
