AI Data Quality Reviewer

Talent Hackers is looking for a detail-oriented AI Data Quality Reviewer to ensure the accuracy and integrity of data used in AI training projects. You will play a vital role in maintaining high dataset standards by evaluating contributor submissions and providing clear, constructive feedback.

Key responsibilities

• Review contributor submissions across text and video formats against project-specific guidelines and acceptance criteria.
• Approve, reject, or return submissions for correction while providing clear feedback to contributors.
• Maintain high accuracy and consistency while meeting project throughput and turnaround-time targets.
• Identify duplicate, low-effort, or suspicious submissions and escalate potential integrity issues.
• Track recurring contributor errors and flag unclear or ineffective task instructions.

Requirements

• 1-3+ years of experience in data annotation, quality assurance, content moderation, or high-volume review environments.
• Exceptional attention to detail and the ability to identify subtle errors or inconsistencies.
• Strong judgment and the ability to make consistent decisions when reviewing large volumes of data.
• Ability to quickly learn and accurately apply new project-specific guidelines and rubrics.
• Strong written and verbal English communication skills at a professional level.
• Ability to work full-time during EST hours.

What we offer

• Opportunity to work on cutting-edge AI training and evaluation projects.
• A fully remote work environment that supports professional growth.
• Clear performance targets and structured workflows to ensure success.
• Exposure to diverse data integrity and quality control methodologies.