Data Quality Specialist
7 days ago
We are seeking a highly detail-oriented and driven individual to join our team as a Data Quality Specialist. You will be the crucial link in training our machine learning models, ensuring the data we use is pristine, accurate, and ready for deployment.
Your Key Responsibilities:
Precise Labeling: Accurately label and annotate diverse datasets, strictly following project specifications and rules.
Quality Control: Verify the completeness and accuracy of annotated data, performing necessary corrections, adjustments, and appeals.
Effective Collaboration: Work closely with support and clients to ensure high-quality data output that meets strategic goals.
Skill Development: Continuously learn and apply new annotation techniques and tools to improve personal efficiency and accuracy.
Timely Reporting: Professionally communicate any issues or challenges with data annotation to project leads in a timely manner.
Performance Delivery: Adhere to project KPIs and deliver high-quality annotated data within predetermined timelines.
What We Look For:
Detail Mastery: You are naturally thorough, complete, and accurate in all tasks—a true guardian of data quality.
Resilience and Hustle: You are a problem-solver who doesn't give up easily and finds efficient workarounds for roadblocks. You understand that the job requires fortitude to power through repetitive but essential tasks.
Strategic Empathy: You look beyond the instruction, understanding the intent and goal of the client/team to deliver the most valuable results.
Minimum Requirements:
At least six (6) months of background in Data Annotation or Labelling.
Good English communication skills.
Excellent customer service, problem-solving, and multitasking abilities.
Superb computer skills and comfort with new software.
Willingness to work a shifting schedule.
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