Data Quality Analyst | Upto $60/hr

Job Responsibilities

• Review and validate image datasets sourced from external vendors against defined quality standards and QA rubrics.
• Identify inconsistencies, labeling errors, and systematic quality failures. Provide structured written feedback.
• Contribute to the development of instruction specs and golden sample datasets as internal quality benchmarks.
• Collaborate with Researchers and Ops teams to scope data projects, define quality criteria, and support evaluation efforts.
• Work independently and manage time effectively to meet deadlines while ensuring high-quality image data.

Qualifications

• Must-Have:
• Strong attention to detail and ability to apply evaluation rubrics consistently and objectively.
• Excellent written communication skills; able to document findings clearly and provide actionable feedback.
• 2+ years of experience in QA, editing, reviewing, auditing, or annotation work (any domain).
• Basic ability to work independently and manage one's time.
• Verbal and written communication skills, problem-solving skills, and interpersonal skills.
• PREFERRED:
• Past experience in AI training, model evaluation, or data annotation.