RWS TrainAI→
Data Annotator for AI Models - Spanish… at RWS TrainAI · São Paulo
Skills
Job Description
Location: Remote working in Brazil (a one-time visit to our São Paulo office is required to pick up the equipment)
Work Schedule: Full-time, Monday to Friday, 8 AM to 5 PM PST (Pacific Standard Time)
Experience: Previous experience in data annotation or content review is a plus
Education: Bachelor’s degree required
Contract duration: TBC
Compensation: 11 USD/hour
Does this sound like you?
Are you looking for remote, work-from-home jobs? Are you interested in helping to improve the reliability of today’s AI models? If yes, then this opportunity is for you!
What we are looking for!
RWS Group is looking for Brazil-based Spanish 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.
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.
Work benefits:
Work from home, full time.
Work-life balance — maintain your lifestyle while you work.
Timely payments made directly to your bank account.
Laptop will be provided.
Job requirements:
Excellent comprehension and written communication skills in English. Additional language knowledge is a plus.
Ability to work full time from 8 AM to 5 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.
#LI-CAN17
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.