
Part Time Data Annotator, Portuguese
Royalty Staffing
contract
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $24 per hour
Job Level
Mid-LevelSenior
About the role
- Label data sets for accuracy according to established guidelines in Portuguese and/or English.
- Identify and escalate any Personally Identifiable Data (PII) that could compromise the data.
- Communicate with management, project leads and team members in English.
- There are multiple sets of customer data that need to be labeled, summarized, evaluated and/or validated
- This team you will be assigned to is responsible for all Machine Learning and Natural Language Processing (NLP) techniques, training their next-generation Machine Learning algorithms. This data will then be used as input for training the new algorithms in a creative fashion.
- You will communicate with management, project leads and team members in English
- The chosen candidate will be responsible for labeling for accuracy to established guidelines in the target language and/or English.
Requirements
- The ideal candidate is someone who is fluent in native Portuguese AND English. All guideline materials are in English
- Previous annotation experience, both in the target language and English
- All Annotators must reside in the United States
- Ability to effectively and efficiently manage time-in-task
- Meet and/or exceed deadlines and effectively manage time-in-task
- Basic computer skills and Data entry experience
- Ability to recognize and annotate PII information in the target language and in English
- Basic spreadsheet capabilities
- Ability to communicate effectively in English
- Familiarity with the use of Slack and other modes of communication
- At ease requesting clarification or communicating observed convention gaps and/or ambiguities
Benefits
- NA 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data labelingannotation experiencedata entrytime managementrecognizing PIIbasic spreadsheet capabilitiesMachine LearningNatural Language Processing
Soft skills
effective communicationtime managementclarification requeststeam collaboration