Data Annotator for AI Models - German from Germany located in Brazil

RWS TrainAI; Brasil; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading AI solutions company is seeking German Data Annotators for a full-time remote position in Brazil. The role involves annotating, evaluating, and curating text and video data for improving AI models. Candidates must hold at least a Bachelor's degree and possess strong English communication skills. The company offers a supportive work environment with timely payments and necessary equipment provided.

Serviços

Work from home

Work-life balance

Timely payments

Equipment provided

Qualificações

• Ability to work from 9 AM to 5 PM PST time, Monday to Friday.
• Detail-oriented with the ability to follow instructions.
• Ability to meet deadlines.

Responsabilidades

• Annotate data accurately according to predefined guidelines.
• Perform basic research to ensure accurate annotation.
• Provide feedback on observed patterns in the annotated data.

Conhecimentos

Excellent comprehension and written communication skills in English

Attention to detail

Familiarity with Excel or Google Sheets

Responsible and reliable

Formação académica

Bachelor's degree

Descrição da oferta de emprego

Location: Remote working in Brazil

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 required

Contract duration: 6 months

Compensation: 40 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 GermanData 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

- 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.

RWS embraces DEIand 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.