Data Annotator
Job Title: Quality Annotation Specialist
Job Duration: 1 year contract (likely to extend)
Location: Fully Remote (Must work PST hours)
Interview Process: 1) Pre-Screening Assessment (15 mins), 2) Interview with hiring manager + Summarization Assessment 3) Interview w Director/Researcher --> Offer!
Pay: $25-27/hr
Must Haves:
• Bachelor’s degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience)
• Prior data annotation experience
• Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts.
• Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment.
• Ability to manage ambiguity, uncertainty, and changing priorities with limited resources.
• Ability to accept and integrate continuous feedback while remaining professional.
• Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team.
• Quick learner and self-starter with strong problem-solving skills.
Day-to-Day:
• Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines.
• Collaborate with team members to identify improvements to the labeling interface or labeling processes in order to drive efficiency and high-quality.
• Complete assignments by deadlines while meeting team expectations and goals.
Apply Now
Apply Now
Job Duration: 1 year contract (likely to extend)
Location: Fully Remote (Must work PST hours)
Interview Process: 1) Pre-Screening Assessment (15 mins), 2) Interview with hiring manager + Summarization Assessment 3) Interview w Director/Researcher --> Offer!
Pay: $25-27/hr
Must Haves:
• Bachelor’s degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience)
• Prior data annotation experience
• Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts.
• Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment.
• Ability to manage ambiguity, uncertainty, and changing priorities with limited resources.
• Ability to accept and integrate continuous feedback while remaining professional.
• Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team.
• Quick learner and self-starter with strong problem-solving skills.
Day-to-Day:
• Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines.
• Collaborate with team members to identify improvements to the labeling interface or labeling processes in order to drive efficiency and high-quality.
• Complete assignments by deadlines while meeting team expectations and goals.
Apply Now
Apply Now