Job Description

Location : Remote working in Canada.

Work Schedule : Full-time, 9 AM to 5 PM PST time (Monday to Friday).

Experience : Previous experience in data annotation or content review is a plus.

Education : Bachelor’s degree (or equivalent experience) required.

Contract duration :12 months.

Compensation: 55 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 Canada-based German 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.
• Work-life balance — maintain your lifestyle while you work.
• Timely payments made directly to your bank account.
• Equipment 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 9 AM to 5 PM PST time (Monday to Friday) , no exceptions.
• 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.

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.

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