Job Description
An opportunity is open for detail-oriented individuals to support AI data labeling projects through Quality Assurance (QA). The role involves reviewing labeled data, ensuring accuracy, and maintaining high-quality standards for AI training datasets. Candidates fluent in Russian, Spanish, or Indonesian are encouraged to apply.
Responsibilities
- Review and validate labeled data for accuracy and consistency
- Identify and correct labeling errors in AI datasets
- Follow established guidelines and quality benchmarks for AI training data
- Provide feedback to improve labeling processes and outputs
Requirements
- Fluency in Russian, Spanish, or Indonesian
- Experience with AI platforms such as Outlier, Appen, Clickworker, or Telsus
- Strong attention to detail with excellent analytical skills
- Proven reliability in meeting deadlines and delivering consistent quality
How to Apply
Interested applicants should prepare a brief cover note highlighting language proficiency, relevant platform experience, and previous QA or data labeling work. Submit applications through the designated job listing platform or via the provided contact form.
