Data Review Specialist (Remote)
Crewlia
What the role involves
- Annotating multimodal datasets
- Auditing AI outputs
- Validating data quality
What they ask for
Demonstrated history in quality assurance, content moderation, research, or data validation; strong written and spoken English proficiency; reliable high-speed internet and home office setup; US or Canadian residency and work authorization
About the job
- Role: Data Review Specialist (Remote)
- Location: Remote (Australia, Canada, United Kingdom, Ireland, New Zealand, United States)
- Employment Type: Contract
Location: Applicants must currently reside in Australia, Canada, United Kingdom , Ireland, New Zealand or the United States.
Overview:
We are looking for a detail-oriented Data Review Specialist to review, annotate, and structure multimodal datasets for advanced artificial intelligence models. You will play a crucial role in improving data quality across text, images, spreadsheets, and complex structured documents.
Key Responsibilities:
- Perform precise data annotation and validation tasks across a variety of digital formats and subjects.
- Audit AI system outputs to identify hallucinations, formatting errors, or deviations from user prompts.
- Highlight confusing or contradictory data points to assist in refining overarching project guidelines.
- Deliver high-volume data review tasks efficiently without compromising on precision or accuracy.
Requirements:
- Meticulous attention to detail combined with strong analytical and reading comprehension abilities.
- Demonstrated history in quality assurance, content moderation, research, or data validation.
- Strong written and spoken English proficiency to clearly articulate complex judgments.
- Reliable high-speed internet and home office setup.
- Residency and work authorization in the United States or Canada is strictly required.
Equal Opportunity Employer:
We are an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of race, color, ethnicity, nationality, gender, gender identity or expression, sexual orientation, age, religion, disability, marital status, or any other characteristic protected by applicable law. All hiring decisions are made solely on the basis of qualifications, skills, and demonstrated ability.
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