Listing unavailableData & AnalyticsOn-site

Quality Assurance (QA)

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Last checked by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

Source: the employer's Lever job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model: On-site
Salary: Not listed by source
Location: Dubai

What the role asks for

What you'd do

Data Annotation (DA)
Label and annotate data (text, image, audio, or video) based on project guidelines.
Categorize and structure raw data into machine-readable formats.
Follow strict annotation instructions to ensure consistency across datasets.
Identify patterns, edge cases, and ambiguous data for escalation.
Meet daily/weekly productivity and accuracy targets.
Quality Assurance (QA)
Review annotated data to ensure accuracy, consistency, and completeness.
Perform random and targeted quality checks on datasets.
Identify errors such as mislabeling, incorrect classifications, or inconsistencies.
Provide clear feedback to annotators for improvement.
Track and report quality metrics and error trends.

What they're asking for

Proficiency in Chinese and English is a MUST.Language
Strong attention to detail and accuracy.Skill
Ability to follow structured guidelines and instructions.Skill
Good analytical and problem-solving skills.Skill
Experienced as Data Annotator is a MUST.Skill
Ability to handle repetitive tasks with consistency.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Key Responsibilities: • Data Annotation (DA) • Label and annotate data (text, image, audio, or video) based on project guidelines. • Categorize and structure raw data into machine-readable formats. • Follow strict annotation instructions to ensure consistency across datasets. • Identify patterns, edge cases, and ambiguous data for escalation. • Meet daily/weekly productivity and accuracy targets. • Quality Assurance (QA) • Review annotated data to ensure accuracy, consistency, and completeness. • Perform random and targeted quality checks on datasets. • Identify errors such as mislabeling, incorrect classifications, or inconsistencies. • Provide clear feedback to annotators for improvement. • Track and report quality metrics and error trends. Requirements: • Proficiency in Chinese and English is a MUST. • Strong attention to detail and accuracy. • Ability to follow structured guidelines and instructions. • Good analytical and problem-solving skills. • Experienced as Data Annotator is a MUST. • Ability to handle repetitive tasks with consistency.

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